Jobs in Tel Aviv-Yafo

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We’re looking for a Senior Automation Engineer to join our Automation team. As a member of this team, you will be responsible for the design, implementation, and maintenance of automated tests and infrastructure using our Java-based framework. Our Automated tests cover various aspects of the security product, including complex networking topology, traffic, security rules, Users authentication scenarios. Responsibilities • Design, develop, and maintain automated tests for complex, multi-layered systems using our Java-based framework • Drive initiatives to enhance automation infrastructure and tools to support seamless development and testing workflows. • Define, build, and maintain automation infrastructure, frameworks, and reusable libraries, to improve test execution reliability, reduce flakiness, shorten feedback loops, and increase confidence in automation results. • Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation • Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution • Enable QA automation engineers and developers with reusable components, templates, tools, dashboards, CI/CD integrations, and best practices. • Translate automation data into actionable insights for automation engineers, developers, product teams. • Identify gaps and develop tools and solutions to improve automation efficiency, stability, and scalability • Collaborate with development, product, and cross-team automation groups to ensure high-quality delivery and unified standards Requirements • 7+ years of experience in test automation for multi-layered complex systems • Strong coding skills with OOP/OOD principles (Java, C#) • Experience with load and performance testing (Jmeter, K6, Gatling) • Experience with cloud platforms (AWS, Azure, GCP) • Strong understanding of network protocols (L3–L7) • Strong understanding of automation architecture, CI/CD integration, and scalable execution infrastructure using Docker, Kubernetes, and cloud environments. • Experience designing, building and maintaining automation frameworks and test environments • Practical experience using AI-based tools to improve software development or test automation workflows (e.g. test generation, code assistance, failure analysis, or test optimization) • Familiarity with identity providers (LDAP, AD, Okta, Azure AD) • Demonstre a strong ownership mindset and exceptional communication skills to mentor teams toward continues engineering excellence.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Now we are looking for a SW Architect to join the Cato team. This is an amazing opportunity to join a growing startup and make a real impact on the future of our product while playing a critical role in the design and development of our SASE solutions. Responsibilities: • Participate in setting and executing the product architecture and roadmap, maintaining scalability, reliability, productivity, performance, and security. • Collaborate with Product and Engineering to understand and analyze market needs and map them to technical terms of our architecture. • Architect new features and systems to meet functional and non-functional requirements - from management application & services, through our massive cloud backbone and to the multi-platform client products. • Act as a bridge between R&D groups, identifying opportunities and gaps and aligning on common concepts and technical vision. • Be an insider and trusted advisor to different R&D groups and teams, through a hands-on approach and technical excellence. • Stay up to date with industry trends and emerging technologies to drive innovation and product differentiation. Requirements: • 10+ years of experience in design & implementation of complex software systems • Strong proficiency with microservices and SaaS products, as well as low-level Networking or Security infrastructure. • Leading large-scale solutions from product definitions to low level design of components and implementation. • Driving changes in adopting technologies / refactoring / processes / development infrastructure – from envisioning (coming with the agenda) to actual execution of the strategy. • Excellent analytical, systemic thinking and problem-solving skills, with great attention to detail. • Excellent leadership, communication, and collaboration skills Cato Networks is building the enterprise network and security platform of the future. Our cloud-native network architecture is pushing the envelope on what can be done with cloud, software, and true genius. If you want to be part of a team that changes networking and security forever - join us.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We are looking for a Field Operations EMEA Manager to join our Revenue Operations team, partnering with Sales leadership and executives to drive pipeline analysis, sales cadence, forecasting, and productivity insights - playing a critical role in optimizing GTM processes and enabling strategic, data-driven decisions across a rigorous sales operating rhythm. Key Responsibilities • Serve as the operational counterpart to sales leaders in executing against sales KPIs and business objectives. • Translate data into actionable insights and recommendations that improve sales productivity and performance. • Use AI tools and automation to streamline recurring work, accelerate analysis, and improve decision-making. • Support strategic planning and regional initiatives. • Monitor sales performance, track success metrics, and measure improvements. • Identify early warning signs and partner with sales leaders on preventative actions and corrective plans. • Ensure data integrity, accuracy, and consistency across reporting. • Monitor forecasts, identify risks and opportunities, and improve forecast accuracy. • Support regional budget planning, territory planning, target setting, and ramp-up planning. What You’ll Do • Pipeline & Forecast Analysis: Own analysis of the sales pipeline from leads through closed deals. Prepare bookings reports, pipeline analyses, and dashboards that highlight trends, coverage, funnel risks and opportunities, and progress toward targets. Partner with sales managers on forecast calls to ensure accurate data, current forecasts, and informed decisions. • Operational Cadence & Reporting: Support sales operating rhythms, including manager check-ins, weekly pipeline reviews, forecast reviews, and Quarterly Business Reviews. Consolidate data from multiple sources into performance reviews that explain the story behind the numbers. Clearly communicate findings and recommended actions to regional VPs and the executive team. • Territory & Capacity Planning: Support regional leadership with budget planning, territory design, target setting, and ramp-up planning. Evaluate sales capacity, identify areas requiring investment or management attention, and recommend how to distribute resources across teams. • Sales Performance Insights: Analyze key sales metrics, including pipeline generation, coverage, win rates, conversion rates, sales cycle length, and retention. Identify trends and bottlenecks, investigate underlying causes, and recommend actions that improve sales productivity and outcomes. • AI & Process Improvement: Identify and implement practical uses of AI and automation across sales operations. Examples include accelerating analysis, summarizing pipeline and forecast changes, drafting business review narratives, and automating recurring reporting tasks. Measure the impact on time saved, accuracy, or business outcomes, and document effective workflows so others can use them. • Visualization & Storytelling: Maintain dashboards and reports that give stakeholders timely visibility into business performance. Translate complex findings into clear executive presentations, highlighting what changed, why it matters, and what action to take. • Data Quality & Validation: Maintain reliable reporting and CRM data. Validate AI-generated analyses, calculations, and summaries against source data, apply business judgment, and use company-approved tools in accordance with data privacy and security requirements. Requirements • Demonstrated hands-on experience and results are required; a college degree is not required. • 3–4 years of experience in Revenue Operations, Field/Sales Operations, or a similar role in a B2B environment. Experience in SaaS or a high-growth technology company is a plus. • Practical experience using AI tools in business workflows, with the ability to describe specific use cases, your approach, and the results achieved. Relevant examples include analysis, reporting, research, business review preparation, or process automation. • Ability to frame clear questions for AI tools, provide relevant context, refine outputs, and independently verify accuracy. Know when additional analysis or human judgment is needed. • A continuous improvement mindset, with the ability to identify repetitive work and build repeatable workflows using AI, automation, and existing business systems. • Excellent analytical skills, strong attention to detail, and a commitment to accuracy. Ability to turn complex data into actionable recommendations and communicate the story behind the results. • Understanding of go-to-market strategy, B2B sales processes, and basic financial principles. • Solid understanding of SaaS and sales performance metrics, including pipeline coverage, sales cycle length, win rates, conversion rates, and retention. • Strategic thinking and a results-oriented approach to operational excellence. • Excellent communication and collaboration skills, including experience partnering with sales leaders, account executives, and cross-functional teams. • Strong presentation, data visualization, and executive storytelling skills. • High proficiency in spoken and written English. • Proficiency in Excel, SQL, and Tableau for analysis and visualization; Salesforce CRM, including report and dashboard creation and data quality management; and Clari or a similar forecasting and pipeline management tool.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning (LoRA, full FT, RFT) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference and fine-tuning platforms for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement optimized inference workflows, build customized LLM-based solutions and architect scalable AI applications using our served models. You will also work closely with our backend team to improve our platform to match clients' needs. You’re welcome to work from Tel Aviv, Israel. Your responsibilities will include: • Optimize LLM inference across various modalities to drive business value and support customer goals • Provide support in supervised and reinforcement learning fine-tuning to maximize model quality for the customers • Design and implement LLM-based solutions using Nebius Token Factory’s inference services • Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models • Provide technical expertise in prompt engineering, RAG architectures and model selection • Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap • Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency We expect you to have: • 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI • Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches • Hands-on experience with: • Running LLMs in production: deploying and operating inference workloads • LLM fine-tuning, including supervised fine-tuning (SFT/LoRA) and data preparation/curation; experience with RL-based fine-tuning is a strong plus • LLM evaluation: building task-specific benchmarks and offline/online eval pipelines, including LLM-as-a-judge setups • Inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers) • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models • Strong Python programming skills • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences It would be an added bonus if you have: • Work with multimodal AI models (e.g., vision-language, speech) • Proficiency with DevOps tools (Docker, Kubernetes) • Contributions to open-source ML/AI projects Preferred technical stack: • Programming Languages: Python • ML Frameworks and Libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs • MLOps and DevOps tools: Kubernetes (K8s), Docker, Git • Cloud Platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) #LI-DK1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Security Compliance Coordinator supports the day-to-day execution and scaling of the company's security compliance program. This hands-on role coordinates audits and certifications, performs control and evidence reviews, supports supplier compliance reviews within Third Party Risk Management (TPRM), and drives assigned actions to closure across multiple stakeholders. The coordinator works alongside other team members and is expected to contribute professional judgment, not only administrative tracking. Your responsibilities will include: Compliance and Audit Operations • Coordinate external audits, certifications, and readiness activities, including SOC 2 and ISO-based programs, evidence collection, control populations, sampling, and auditor requests. • Perform recurring control testing and evidence reviews; identify gaps and inconsistencies and track findings, corrective actions, and remediation commitments through closure. • Maintain organized, audit-ready records and provide clear status reporting on milestones, risks, dependencies, and overdue actions. TPRM and Supplier Compliance Reviews • Conduct compliance reviews of new and existing suppliers as part of the TPRM process, assessing questionnaires, SOC reports, ISO certifications, policies, and other security and compliance evidence against applicable requirements. • Identify missing, expired, or insufficient supplier evidence and material compliance gaps; coordinate clarifications and remediation and document the resulting assessment, decision, escalation, or accepted exception. Governance and Compliance Projects • Support the policy and procedure lifecycle, including inventory maintenance, owner coordination, scheduled reviews, approval tracking, publication, and reporting. • Support the implementation and operation of the GRC platform, including workflows, evidence automation, integrations, data quality, reporting, and user adoption. • Support the integration of new entities, services, and sites into the compliance program, including scope extensions and data-center documentation and evidence coordination. • Maintain workplans and Jira tasks and develop practical templates, metrics, and reporting that improve visibility and consistency across assigned workstreams. We expect you to have: • 2-3 years of experience in information security compliance, GRC, IT audit, IT risk, or a closely related field. • Working knowledge of information security controls, audit and certification cycles, and frameworks such as ISO 27001 or SOC 2. • Ability to review evidence critically, identify missing or inconsistent information, and follow issues through to a clear and documented resolution. • Prior exposure to TPRM, supplier security or compliance assessments, or review of third-party assurance documentation is an advantage. • Strong organizational and English communication skills, with the ability to manage multiple workstreams and summarize requirements, findings, and status accurately. • Proficiency with Jira, Confluence, and Excel or equivalent spreadsheet tools; experience with GRC platforms is an advantage. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets. Travel: This position may require on-site presence at data centers during key deployment phases. Your responsibilities will include: • Lead end-to-end delivery of new data center programs, from design through handover to operations. • Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution. • Translate business and technical requirements into actionable project plans and measurable deliverables. • Oversee vendor and contractor execution, ensuring quality, budget, and schedule. • Provide structured program reporting, including dashboards, documentation, and executive updates. We expect you to have: • 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments. • Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed. • Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments. • Communication and stakeholder management skills; able to translate complex topics clearly. • Leadership by influence and example in cross-functional or matrixed teams. • Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall). It will be an added bonus if you have: • Understanding of construction projects structure and key risk factors in facility build-outs. • Knowledge of HPC • Experience in business processes design or automation tools development. • PMP, PRINCE2, or similar industry certifications. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO. This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities. The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience. Your responsibilities will include: • Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development. • Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure. • Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls. • Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures. • Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts. • Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise. • Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities. • Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage. • Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements. • Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders. • Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program. • Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations. We expect you to have: • 6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations. • 2+ years of experience leading technical security teams. • Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats. • Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments. • Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs). • Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources. • Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks. • Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis. • Strong analytical, investigative, and problem-solving skills. • Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: • Experience hunting across AWS, GCP, or Azure cloud environments. • Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments. • Experience developing detection rules and behavioral analytics. • Knowledge of malware analysis, digital forensics, or reverse engineering concepts. • Experience with threat intelligence platforms and threat hunting frameworks. • Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent. • BSc in Computer Science, Information Security, or a related field. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced U.S. Securities and Transactions Counsel to serve as the company's primary legal expert on U.S. securities law and the US requirements applicable to the company as a NASDAQ-listed foreign private issuer, with responsibilities for US transactional matters You will lead the legal workstreams associated with the Company's SEC reporting, disclosure and NASDAQ compliance obligations, working cross-functionally with Finance, Investor Relations, Company Secretary and senior leadership to uphold the highest standards of compliance, governance, and disclosure. You will also support the broader legal team with US legal advice on transactional matters, including financing, M&A and other strategic transactions. Your responsibilities will include SEC Reporting & Disclosure • Lead preparation and timely filing of all periodic and other SEC reports, including Forms 20-Fand 6-K , and Section 16 filings. • Manage disclosure controls and procedures; coordinate with Finance and external auditors to support SOX Section 302 and 404 compliances. • Draft and/or review press releases, earnings scripts, and investor materials; own disclosure compliance program. • Advise on Rule 10b5-1 plans and related securities law requirements. Corporate Governance • Advise on Board and committee governance, director and officer matters, and the company’s annual governance cycle under US Securities Law and NASDAQ listing standards. • Ensure compliance with SEC Rules on matters such as related-party transactions and other corporate governance matters. • Monitor developments in SEC Rules, NASDAQ listing standards and relevant U.S. public-company governance requirements. Capital Markets & Financing Transactions • Advise on securities law aspects of equity and debt capital markets transactions, including equity and convertible note offerings, ATM equity programs, and Rule 144A / Reg S debt offerings. • Negotiate underwriting agreements, purchase agreements, indentures, and related transaction documents; coordinate with underwriters' counsel and trustee. • Manage registration statements and prospectus supplements; advise on related EDGAR filings. • Advise on securities law compliance for convertible notes, warrant issuances, and equity-linked instruments. M&A and Strategic Transactions • Provide securities law counsel across the full M&A lifecycle — from structuring and due diligence through signing, regulatory filings, and closing. • Advise on representations and warranties related to securities law compliance. We expect you to have • J.D. from an accredited law school; active bar admission in at least one U.S. jurisdiction. • At least 7 years of relevant experience in US securities law and public-company matters; mix of top-tier law firm and in-house experience strongly preferred. • Deep expertise in Exchange Act reporting, SOX, Regulation FD, and NASDAQ governance rules. • Proven experience with capital markets transactions (equity and debt) and public M&A. • Exceptional drafting and communication skills; sound judgment and ability to work independently at a senior level. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role As a Senior ML Engineer focused on Search Optimization, you will work on improving the quality of our search product across the all parts of the search stack. You will work on problems such as query understanding, query reformulation and expansion, retrieval, ranking, reranking, and result selection. Your goal will be to identify where search quality is lost, develop better approaches, and turn them into measurable improvements in production. This is an applied ML and information-retrieval role combining experimentation with production impact. You will work with real-world queries, large-scale search systems, and evaluation signals to improve relevance, recall, freshness, and overall result quality. In this position, your responsibility will be to • Design, implement, and operate the retrieval system for a search vertical • Connect and tune the data pipeline, from ingestion to relevance tuning • Build knowledge-graph and entity-resolution layers: entity linking / NER, ontologies, and graph databases (Neo4j or similar) • Develop structured-extraction pipelines over messy, unstructured domain data • Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it • Define evaluation and quality metrics for relevance and drive measurable improvements • Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met • Enable safe experimentation with retrieval, ranking, and extraction strategies You may be a good fit if you have: • 6+ years of software engineering experience, some of it in search / information retrieval • Strong IR fundamentals: inverted indexes, BM25/TF-IDF, query understanding, ranking, and evaluation (nDCG/MRR/recall@k) • Experience with vector & hybrid retrieval: ANN, dense+sparse fusion, embeddings models • Experience building structured extraction over messy/unstructured domain data • Fluent in Python and comfortable with systems-level performance work Strong candidates may also have experience with: • Knowledge graphs: entity resolution, entity linking / NER, graph DBs (Neo4j), ontologies / schema design • Owning relevance / ranking for a real product and improving it against IR metrics • Data quality, truth discovery, or systems that decide how much to trust a piece of information • Published work on IR, ranking, or knowledge graphs Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities • Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. • Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. • Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. • Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. • Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. • Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. • Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. • Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves • A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. • A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. • Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. • Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. • Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. • Excellent written and verbal communication. Nice-to-haves • First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. • Experience deploying ML models or inference optimizations in production. • Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. • Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. • Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. • Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Role We are looking for a delivery-focused Security Operations Project Manager to join the Cyber Security PMO, reporting to the Head of PMO under the CISO. This is a dedicated, single-program role: you will own end-to-end delivery of the Global SOC Operation program one of the most strategically significant initiatives in the CISO organization. The program spans five major workstreams across SOC design, telemetry, detection, incident response, and continuous improvement. You will be the engine that keeps this program moving. What You Will Own You will be the single accountable PM for the Global SOC Operation program; responsible for driving execution, maintaining delivery momentum, and ensuring nothing falls through the cracks across a large, multi-workstream program. Execution and Delivery: own the end-to-end project lifecycle across all workstreams: from project initiation and planning through execution, validation, and formal closure. Ensure every workstream has a clear plan, named owners, realistic milestones, and a path to delivery. Planning and Tracking: build and maintain detailed project plans in Jira. Keep the program board accurate, up to date, and executive-ready at all times. Translate ambiguous objectives into structured, executable task hierarchies with clear ownership and sequencing. Dependency and Risk Management: identify and manage cross-workstream dependencies before they become blockers. Maintain a live RAID log, drive mitigations, and escalate critical risks with full context and a recommended course of action. Stakeholder Coordination: run structured governance across a wide range of stakeholders including SOC engineering, IT, Legal, Privacy, HR, Finance, and CISO leadership. Facilitate kickoffs, steering reviews, and milestone sign-offs. Navigate cross-functional friction, Privacy, Legal, Work Council; with persistence and structured escalation. Reporting and Visibility: produce concise, accurate status reporting for the Head of PMO and CISO. Surface progress, risks, decisions, and next steps in a format that enables fast, informed decision-making. What We Expect • 4–6 years of hands-on project or program management experience with a strong delivery track record in complex, cross-functional technical environments. • Proven ability to manage a large, multi-workstream program simultaneously. • Deep Jira proficiency: task and epic management, board configuration, dashboards, reporting, and portfolio tracking. • Strong project decomposition skills; able to take an ambiguous objective and break it into structured, executable workstreams with named owners and milestones. • Proactive risk mindset: anticipates blockers, surfaces them early, and drives resolution without waiting to be directed. • Strong written and verbal communication in both Hebrew and English, with confidence engaging global stakeholders. • Technological orientation — able to understand SOC architecture, tooling stacks, and security workflows at a sufficient level to manage delivery and challenge estimates. • Experience working within a SOC, CISO, or security operations environment; a must. • Familiarity with SOC domains: SIEM, SOAR, detection engineering, threat hunting, DFIR, or incident management; a must. Nice to Have • Knowledge of security frameworks such as NIST CSF, MITRE ATT&CK, or ISO 27001. • Experience coordinating follow-the-sun or multi-region operational programs. • Experience working with globally distributed teams in a high-growth technology or cloud infrastructure company. • PMP, PRINCE2, or equivalent project management certification. What We Offer • Ownership of one of the most strategically important programs in the Nebius security organization. • Direct visibility to CISO leadership and real impact on how Nebius builds and operates its global SOC. • A fast-moving, high-growth environment where you will build something from the ground up. • A collaborative team with deep domain expertise across offensive security, SOC automation, CTI, and engineering. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise. YDB is an open-source platform with two roles within Nebius: • Providing the binary object storage foundation for S3 Object Storage, Shared Filesystems and Network Block Storage • Serving as a distributed relational database and message broker for services such as IAM, billing, audit trails and logging We operate YDB clusters in more than 10 regions using HDD and NVMe storage. Individual clusters span tens of thousands of nodes, manage hundreds of petabytes of data and deliver terabytes per second of throughput. Our infrastructure includes x86 and Arm-based systems, including NVIDIA GB300 nodes. What you’ll work on • Evolve YDB’s architecture for new hardware, redesigning core components when incremental optimization is insufficient: • QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification • Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth • NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs • Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints • Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability • Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads • Prevent, detect and recover from silent data corruption across memory, networking and storage • Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently We move quickly and focus on delivering practical value. Features and optimizations merged into the production branch are typically deployed within weeks. You’ll see your work solving real problems in live clusters—not waiting years to make an impact. Requirements: • 5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems • Experience developing high-performance, low-latency software components • Understanding of core dumps, flame graphs and sanitizer-enabled builds • Understanding of CPU caches, atomic operations and NUMA architectures Nice to have: • Experience designing and developing production-grade distributed storage systems and/or databases • Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming • Understanding of NVMe, conventional HDD and SMR HDD internals • Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb • Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring • Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA • Experience with Kubernetes and Grafana • Experience responding to production incidents • Knowledge of availability and durability calculations For Senior candidates, we offer hybrid working or the flexibility to work remotely within EU. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: • Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. • Shape the product surface on top of the data, so a customer gets something built for their job. • Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. • Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. • Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. • Work with customer success to learn what customers ask us for and what makes them leave. • Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: • 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. • Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. • A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. • Experience in API-first or developer-platform businesses. • Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. • A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. • The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: • Domain experience in market intelligence, news, financial research, or another data-heavy industry. • Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. • Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. • Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Senior Data Engineer who in addition to building and owning data pipelines will also drive the design and technical leadership within the data engineering team. This is a hands-on data engineering role, focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning. Infrastructure, cloud, and Kubernetes are used only as tools to run pipelines reliably and cost-efficiently — this is not an SRE or platform engineering role. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include: Core Responsibilities (Primary Focus) • Design, build, and own production-grade data pipelines using Python and SQL. • Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions. • Implement data transformations, validation, and data quality checks. • Optimize pipelines for performance, reliability, and cost efficiency. • Collaborate closely with Analytics, Data Science, and ML teams to deliver trusted datasets. Supporting Infrastructure (Secondary Focus) • Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent). • Package and run data workloads using Docker and deploy them on Kubernetes. • Use autoscaling and Spot / Preemptible compute for efficient pipeline execution. • Build CI/CD automation for data pipelines. • Use Infrastructure as Code only to provision and manage the infrastructure required to run pipelines. We expect you to have: • 8+ years of experience as a Data Engineer, primarily focused on building data pipelines. • 6+ years of hands-on experience with Python and SQL. • 3+ years of experience running workloads on Kubernetes. • Strong understanding of stateless system design and idempotent data processing. • Experience building and operating data pipelines in cloud environments. • Experience with workflow orchestration frameworks. • Strong Linux fundamentals and production debugging skills. • Working knowledge of spoken and written English It will be an added bonus if you have: • Experience contributing to or working extensively with open-source software. • Experience building data pipelines using Apache Spark or similar distributed processing frameworks. • Experience building data pipelines that support machine learning workflows. • Familiarity with cost-optimized data processing (e.g., Spot / Preemptible compute). • Experience with relational and non-relational data stores. • Experience working with large-scale or high-reliability data systems. • Experience collaborating with strong Data Science and ML teams. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost. In this position, your responsibility will be to • Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines. • Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves • Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components • Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments • Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it • Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals • Monitor resource usage, bandwidth consumption, and infrastructure cost • Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics You may be a good fit if you: • 5+ years of experience building product critical backend services • Strong Go and Python Experience • Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines) • Understanding of Information Retrieval flows and pipelines • Experience operating production systems and debugging failures in distributed environments • Strong understanding of scalability, fault tolerance, and resource management • Are interested in either a strong senior IC role or a role with significant technical leadership and ownership. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We seek an experienced Senior Program Manager join the Strategic Initiatives team. In this role, you will be collaborating with various departments including, product, engineering, legal andfinance, leading technical product programs for the business. Your responsibilities will include: • Own initiatives end-to-end, including scope, sequencing, dependency tracking and decision unblocking. • Partner with product, engineering, legal, finance/SOX, sales, marketing and operations to deliver strategic initiatives. • Proactively identify, communicate and escalate cross-functional risks before they affect delivery or launch. • Create and maintain core planning documents, including PRDs, rollback plans, launch communications, risk logs and analytics. • Lead stakeholder communications, including regular updates, field-team enablement, support training, marketing coordination and supporting materials. • Report progress, risks, dependencies and blockers to initiative sponsors and the Strategic Initiatives Lead. We expect you to have: • Strong experience in programme management, technical product management or a similar cross-functional delivery role. • A proven track record of owning complex launches involving coordination across multiple teams. • A hands-on approach, with the ability to organise, manage and deliver the work rather than only track progress. • The ability to make sound decisions with incomplete information, resolve ambiguity and drive decisions through to completion. • Experience working in cloud infrastructure, billing or another regulated commercial environment. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About The Role: The Operations Specialist is responsible for coordinating and managing end-to-end expense, payment, and documentation processes to ensure timely, accurate, and compliant processing of company purchases. This role acts as a key operational partner across finance, procurement, legal, compliance, accounting, treasury, and logistics teams. The position requires strong attention to detail, the ability to work independently within established frameworks, and a proactive approach to improving operational workflows. ______________________________________________________________________________ Key Responsibilities • Support procurement-related processes, including purchase requests, purchase orders, vendor onboarding, and coordination between requestors, procurement, finance, and suppliers. • Take responsibility for document management involving internal teams and external contractors, ensuring accurate creation, version control, and secure storage • Coordinate agreements, reconciliations, reports, and other operational documents for internal and external counterparties • Process reports and verify that they are complete, accurate, and correctly formatted according to internal standards • Work closely with Accounts Payable teams to support transaction processing and resolve discrepancies • Interact with cross-functional teams, including Legal and Accounting, to address operational issues and ensure smooth workflows • Advise internal stakeholders on transaction processing requirements, documentation standards, and operational procedures • Participate in special projects and cross-functional initiatives as required Key Qualifications & Experience Must-have requirements: • 1-2 years of experience in procurement operations, purchasing administration, finance operations, or a related operational role, with understanding of end-to-end procurement and purchase-to-pay (P2P) processes. • Experience with document management and operational workflows involving internal teams and external counterparties • Working knowledge of accounts payable processes • Ability to review, and maintain agreements and supporting documentation • Experience collaborating with cross-functional teams such as Legal, Accounting, and Finance • Strong attention to detail and ability to ensure accuracy and consistency in documentation and reporting • Ability to manage multiple tasks and priorities within established procedures • Clear written and verbal communication skills • Experience with ERP, finance, or document management systems • Fluent English Preferred qualifications: • Strong Excel or spreadsheet-based tracking and reporting skills • Experience participating in process improvement or special projects Competencies & Behavioral Traits • Structured, organized and detail-oriented • Strong sense of ownership for assigned processes • Comfortable coordinating across teams and priorities • Process-improvement mindset within defined frameworks • Proactive, solution-oriented approach to operational issues • Ability to understand operational and financial processes, identify gaps, and proactively follow through to completion • Self-driven and accountable, with the ability to prioritize tasks and manage competing priorities effectively Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for an experienced Security Architect to join the Cyber Security organization, reporting to the Security Architect Manager. This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure. The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include to: • Design and implementing secure architectures across corporate networks, cloud platforms, and hybrid environments. • Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements. • Review and approve architecture and design of new systems, infrastructure, and network changes. • Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions. • Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC). • Design secure cloud architectures including IAM, networking, and workload protection. • Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring. • Define and support identity and access management controls, including SSO, MFA, and privileged access. • Contribute to endpoint security architecture, including EDR/XDR and device hardening standards. • Identify security risks and architectural gaps and recommend mitigation strategies. • Participate in architecture reviews, risk assessments, and security design discussions. • Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture. • Support implementation of security architecture initiatives and improvements across the organization. Cybersecurity Architecture • Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. • Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. • Translate threat models, business requirements, and risk assessments into practical security controls. • Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. • Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security • Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. • Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. • Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. • Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. • Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. • Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. • Establish security controls for container orchestration platforms across development, testing, and production environments. • Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security • Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. • Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. • Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. • Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. • Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps • Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. • Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. • Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. • Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. • Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. • Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management • Develop technical security standards, architecture patterns, and security control baselines. • Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. • Define security requirements for identity, access, data protection, network security, workload isolation, and observability. • Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. • Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. • Track security findings and drive measurable improvements in the organization’s security posture. We expect you to have: • 6+ years of experience in cybersecurity, with a focus on cloud security, networks, and/or SDLC • Experience working with cloud platforms (AWS, GCP, Azure) and cloud security best practices. • Strong hands-on experience in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.). • Solid understanding of identity and access management (IAM), Active Directory / Entra ID, and access control models. • Experience working in hybrid environments (on-prem + cloud). • Strong understanding of security architecture principles and risk-based design. • Experience working cross-functionally with IT, Infrastructure, DevOps, and Engineering teams. • Strong analytical and problem-solving skills. It will be an added bonus if you have: • Experience with Zero Trust architecture and network segmentation strategies. • Familiarity with cloud security tools (e.g., Wiz). • Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.). • Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.). • Experience in SaaS, cloud-native, or enterprise-scale environments. • Relevant certifications such as CISSP, CCSP, or equivalent. • BSc in Computer Science, Information Security, or a related field. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Head of Proactive Security to establish and lead the Proactive Security pillar. Reporting directly to the CISO, this leader will manage the Red Team, Penetration Testing, Threat Hunting, and Threat Intelligence teams.  The role is responsible for anticipating relevant threats, challenging Nebius's defenses, identifying exploitable weaknesses, hunting for adversary activity that may evade existing controls, and converting findings into measurable security improvements.  This is a hands-on leadership position for someone who combines offensive-security depth, threat-led thinking, strong operational judgment, and the ability to influence product, engineering, infrastructure, and security stakeholders.  Your responsibilities will include: • Pillar strategy and leadership  • Define the Proactive Security strategy, operating model, roadmap, priorities, budget, and success measures in alignment with Nebius's business objectives and threat profile.  • Build, lead, and develop high-performing Red Team, Penetration Testing, Threat Hunting, and Threat Intelligence teams.  • Create a unified intelligence-led program in which threat intelligence informs testing and hunting, and findings continuously improve defensive controls.  • Prioritize work based on crown jewels, material attack paths, emerging threats, major technology changes, incidents, and business risk.  • Establish clear team charters, engagement models, escalation paths, quality standards, and career-development frameworks.  • Provide the CISO and senior leadership with clear visibility into adversary exposure, validated weaknesses, emerging threats, and remediation progress.  Red Team and adversary emulation  • Lead realistic, intelligence-led adversary simulations across cloud, identity, applications, infrastructure, endpoints, networks, and operational processes.  • Design campaigns that evaluate prevention, detection, response, escalation, and recovery capabilities against relevant threat scenarios.  • Develop and maintain adversary-emulation plans mapped to relevant threat actors, tactics, techniques, and procedures.  • Ensure every engagement operates under documented authorization, rules of engagement, safety controls, deconfliction procedures, and evidence-handling requirements.  • Deliver concise technical and executive reporting that explains demonstrated impact, attack paths, root causes, and prioritized improvements.  Penetration testing and continuous security validation  • Own the risk-based penetration-testing program for Nebius products, applications, APIs, cloud environments, infrastructure, and critical internal systems.  • Define testing standards, scoping criteria, methodologies, quality assurance, retesting, and reporting requirements.  • Coordinate internal testing and specialized external providers while maintaining consistent quality and risk prioritization.  • Partner with Product, Engineering, Infrastructure, and Security teams to integrate testing into major launches, architectural changes, and high-risk initiatives.  • Track findings through validation, remediation, exception, and closure, and identify systemic or recurring weakness patterns.  • Expand automation and continuous validation where it improves coverage without replacing expert-led testing and judgment.  Threat hunting  • Establish a hypothesis-driven threat-hunting program across endpoint, identity, cloud, network, workload, application, and SaaS telemetry.  • Prioritize hunts using threat intelligence, incidents, environmental changes, control gaps, and emerging adversary techniques.  • Search for active, historical, or previously undetected malicious behavior that may not trigger existing alerts.  • Turn validated hunt findings into new detections, telemetry requirements, response playbooks, hardening actions, and future hunt hypotheses.  • Define repeatable hunt methodology, documentation standards, evidence handling, and measurement of hunt effectiveness.  • Partner closely with Detection and Response, Incident Response, Security Engineering, and infrastructure teams during investigations and remediation.  Threat intelligence  • Own Nebius's threat-intelligence strategy, collection priorities, analysis standards, dissemination model, and intelligence lifecycle.  • Maintain a current view of threat actors, campaigns, vulnerabilities, geopolitical developments, and techniques relevant to Nebius, its customers, and its technology stack.  • Produce strategic intelligence for leadership, operational intelligence for defenders, and tactical intelligence that supports detections, investigations, hunting, and testing.  • Translate intelligence into clear changes to security priorities, control coverage, red-team scenarios, hunt hypotheses, and incident readiness.  • Establish reliable processes for source evaluation, confidence assessment, intelligence sharing, and secure handling of sensitive information.  • Build trusted relationships with industry peers, relevant communities, vendors, and information-sharing organizations.  Defensive improvement and governance  • Create a closed-loop process that converts proactive-security findings into owned, prioritized, and measurable remediation actions.  • Partner with Security Engineering, Detection and Response, Product Security, Cloud Security, IT, and Engineering to improve controls and reduce repeat findings.  • Ensure material findings are communicated promptly, tracked transparently, and escalated according to risk.  • Define reporting that distinguishes activity from outcomes and demonstrates improvements in resilience, coverage, and adversary readiness.  • Support major incidents with threat context, attack-path analysis, hunting, and specialist offensive expertise when required.  • Maintain strong legal, ethical, privacy, and operational-safety standards across all proactive-security activities.  We expect you to have: • Extensive cybersecurity experience, including leadership responsibility in offensive security, penetration testing, threat hunting, threat intelligence, detection engineering, or incident response.  • Proven experience building or scaling multidisciplinary security teams and programs, including budgets, vendors, and external testing providers.  • Strong technical understanding of modern cloud environments, identity systems, applications, APIs, networks, endpoints, containers, and production infrastructure.  • Demonstrated experience planning and delivering red-team operations, penetration tests, or adversary-emulation exercises.  • Practical knowledge of threat-hunting methodology, telemetry, detection logic, and investigation workflows.  • Experience producing and operationalizing strategic, operational, and tactical threat intelligence.  • Strong understanding of adversary behavior and frameworks such as MITRE ATT&CK.  • Excellent communication and executive-presentation skills, with the ability to translate complex technical findings into clear business risks, decisions, and remediation actions.  • Sound judgment regarding authorization, operational safety, confidentiality, evidence handling, and responsible disclosure.  It will be an added bonus if you have: • Experience in cloud, hyperscale, AI, or other highly distributed technology environments.  • Deep domain expertise, relevant certifications or equivalent practical experience, and a track record of responsible research or industry collaboration.  Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for an experienced Security Architect Manager to lead our cybersecurity architecture function, with a strong focus on Kubernetes security, cloud infrastructure, cloud-native architectures, and secure software development. The role is responsible for defining and implementing security architecture principles, designing secure cloud-native environments, and embedding security throughout infrastructure provisioning and software development lifecycles. The successful candidate will combine deep technical expertise in Kubernetes and cloud security with proven team leadership, architectural design, and cross-functional collaboration skills. They will work closely with Cloud Engineering, DevOps, R&D, Platform Engineering, IT, and Security teams to ensure that security is built into the organization’s technology foundations. Your responsibilities will include: Cybersecurity Architecture • Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. • Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. • Translate threat models, business requirements, and risk assessments into practical security controls. • Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. • Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security • Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. • Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. • Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. • Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. • Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. • Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. • Establish security controls for container orchestration platforms across development, testing, and production environments. • Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security • Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. • Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. • Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. • Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. • Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps • Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. • Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. • Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. • Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. • Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. • Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management • Develop technical security standards, architecture patterns, and security control baselines. • Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. • Define security requirements for identity, access, data protection, network security, workload isolation, and observability. • Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. • Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. • Track security findings and drive measurable improvements in the organization’s security posture. Team Leadership and Collaboration • Lead, mentor, and develop a team of cybersecurity architects and security engineers. • Define team strategy, technical priorities, delivery plans, and measurable performance indicators. • Build effective partnerships with Cloud Engineering, DevOps, R&D, Platform Engineering, and other technology stakeholders. • Communicate complex architectural risks and technical trade-offs to senior management and engineering leadership. • Foster a culture of engineering excellence, automation, accountability, and continuous improvement. We expect you to have: • 7+ years of experience in cybersecurity, security engineering, cloud security, or security architecture. • 3+ years of experience managing technical teams or leading senior technical professionals. • Strong practical knowledge of Kubernetes architecture and container security in production environments. • Demonstrated experience securing cloud-native workloads and distributed systems. • Strong expertise in AWS and/or Microsoft Azure security architecture. • Hands-on understanding of Kubernetes RBAC, network policies, admission controllers, workload security, secrets management, and container runtime security. • Experience with Docker or other container technologies, Kubernetes deployment workflows, and container registries. • Strong understanding of cloud networking, IAM, encryption, key management, logging, and workload protection. • Practical experience with Infrastructure as Code and automated security controls. • Experience securing CI/CD pipelines and integrating security into software development processes. • Knowledge of threat modeling, vulnerability management, security architecture reviews, and risk assessment methodologies. • Proven ability to influence engineering teams and translate security requirements into scalable technical solutions. • Excellent communication skills in English. Key Success Metrics • Improved security posture and reduced attack surface across Kubernetes and cloud environments. • Reduction in critical misconfigurations, excessive privileges, and recurring architectural vulnerabilities. • Increased adoption of secure-by-design architecture patterns across engineering teams. • Improved security coverage and automation across CI/CD pipelines and infrastructure provisioning. • Reduced time to remediate critical security findings. • Consistent implementation of Kubernetes and cloud security baselines. • Improved collaboration between cybersecurity, cloud infrastructure, platform, and development teams. • Development of a high-performing cybersecurity architecture team. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.