Software Engineer jobs in Israel

What if you could get paid to work on the project you've been meaning to build — with a state-of-the-art AI coding assistant at your side, completely free of charge? We're looking for software developers in Hamburg to bring their own projects and build them using an AI-powered coding assistant. You write real code on real projects you care about. We learn from your expert judgment on how the assistant performed. You keep full ownership of everything you build. This is a fully remote, flexible contract role designed for developers who want to ship their own work — and get compensated for it. Organization: Alignerr Type: Hourly Contract Location: Fully Remote Commitment: Flexible What You'll Do Bring a software project you personally own — a side project, a tool, an open-source library, or something you've been meaning to finish Build features, fix bugs, refactor code, write docs, or do whatever your project needs — using an AI coding assistant At each step, compare two versions of the assistant's response, choose the better one, and write a brief explanation of your reasoning Work in your own environment, on your own schedule, with your own tools Who You Are A developer with a software project you personally own, stored in a git repository Comfortable working in the terminal and with git-based workflows Running macOS, Linux, or Windows with WSL2 Able to write clear, honest evaluations — you'll explain your choices in a few sentences Self-motivated and reliable when working independently Open-source maintainers are especially welcome What's Eligible Software projects that you personally and solely own Open-source projects with an approved license If your project has other maintainers, mention it in your application — we'll confirm eligibility What's Not Eligible Work owned by an employer, client, university, company, or startup Projects under NDA AI model training or evaluation projects; ML infrastructure Security exploit tooling Projects that process other people's personal data Good to Know Before starting, you'll sign short contributor terms and we'll approve your project Transcripts of your coding sessions are used to improve AI models and cannot be withdrawn after submission — this covers sessions only, not the rest of your codebase Your ratings and written feedback become part of the project's deliverables During sessions: no passwords, API keys, or other people's personal data — and you write your ratings yourself, without AI help Why You'll Love This Your project, your code — you keep full ownership of everything, including code the assistant writes for you Free AI tokens — your AI usage during sessions is fully covered, no subscription or API bill needed Paid to build what you'd build anyway — real compensation for real development work on your own project Fully remote and flexible — work from your own computer, on your own schedule Shape the future of AI-assisted coding — your expert judgment directly improves the next generation of developer tools Spots are limited — the first cohort is small and starting soon

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. Chainalysis has become known as the leader in blockchain investigation and compliance software. Our products have built trust in blockchains by taking down terrorist financing campaigns, disrupting major ransomware operations, identifying the Twitter hackers, and more. We are building the data platform for blockchain, cryptocurrency, and web3. We’re looking to bring onboard a Senior Software Engineer with deep PostgreSQL and Java Spring Boot experience who executes high-impact projects and is excited about building at a significant scale! In this role, you’ll: • Own and improve our data ingest Java service for enriched transfers generation and aggregations. • Design and tune PostgreSQL transaction batching, indexing, and replication strategies. • Contribute to the next-generation architecture. The team is evaluating a wide stack of cutting edge technologies. You will run PoCs, benchmark latency, and write ADRs and contribute to delivering the next generation to PROD. • Build and maintain scalable API services on AWS that handle thousands of requests per second • Help automate network onboarding end-to-end. • Debug production issues across microservices, define SLOs, and participate in the on-call rotation • Integrate LLM-based tools into daily engineering work and build agentic automation for operational tasks: automated incident triage, self-healing pipelines, and intelligent alerting We’re looking for candidates who have: • 8+ years with PostgreSQL in production: schema design, query optimization, partitioning, replication, and performance tuning under write-heavy, high-throughput workloads • 8+ years building Java Spring Boot services: REST APIs, JDBC, connection pooling, and JVM performance profiling • Experience with Kafka or equivalent streaming systems: consumer groups, offset management, and partition lag debugging • Track record operating distributed systems on AWS: microservices, multi-silo deployments, Terraform • Strong cross-system debugging skills: tracing a serving delay from a Datadog metric to a Humio log to a code path • Comfort with AI-assisted development and agentic engineering practices • A bias to ship and iterate alongside product and design partners • A genuine excitement for significantly scaling large data systems Technologies Core (experience required): • PostgreSQL • Java Spring • Kafka Expected familiarity: • AWS • Kubernetes • Terraform • Python • Github including Github Actions • DataDog • Humio • PagerDuty Nice to have • Database migration experience (evaluating and cutting over between storage systems) • Flink, Spark, or lakehouse formats (Delta Lake, Iceberg, Parquet) • Kubernetes operations (StatefulSets, HelmReleases, stateful workloads) • Mentoring engineers and driving technical decisions through RFCs/ADRs • Interest in the cryptocurrency AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.

Job Description Summary In this role, you will work closely with a team of 8-15 people who are responsible for developing, evolving, and supporting a large highly-available Electricity Market Management System (MMS). The team includes power systems, database, software, and optimization engineers. You will act as the DevOps Engineer to develop and maintain our DevOps practices and infrastructure. You will contribute to software implementation, troubleshooting, customization, and integration into GE and customer systems. The MMS is large, complex, highly available, subject to high security standards, and incorporates the latest in software industry technologies. A curious person will never be bored. There is lots of room for growth. Job Description • Pipeline Architecture: Lead the evolution of on-premise, container-based deployment infrastructures, including full integration of CI/CD pipelines and security chain-of-custody protocols. • Infrastructure Management: Architect and maintain robust build infrastructures, including Ansible, Maven, Jenkins, and Artifactory, while evaluating and integrating cutting-edge tooling. • Customer Enablement: Act as a technical advisor to customers, guiding the adoption of in-house infrastructure-as-code (IaC) methodologies and supporting on-site product deployment. • System Integration: Partner with internal software developers to implement, integrate, and validate system changes to meet evolving customer functional requirements. • Lifecycle Support: Provide technical oversight throughout the project lifecycle, including proactive system monitoring, defect resolution, and performance optimization. • Issue Resolution: Manage complex technical troubleshooting, document comprehensive resolution guides, and track systemic issues to ensure operational reliability. • Collaboration: Serve as the primary technical interface between product development, external customers, and project teams to ensure seamless project delivery. • Process Governance: Apply and evolve standard execution methodologies, ensuring all systems are implemented according to rigorous governance and security standards. • Technical Mentorship: Mentor team members on DevOps best practices, helping them adopt new skills and maintain high levels of technical consistency across the project. Requirements • Education: Bachelor’s degree in Electrical Engineering, Computer Science, or a related field from an accredited university. • Professional Experience: Minimum of 5 years of experience in on-premise deployment, DevOps (CI/CD), software development, or enterprise system integration. • Technical Expertise: 3 years of experience managing Kubernetes deployments and microservices architecture. • Travel/On-site: Willingness to travel 10–20% of the time Desired Qualifications • Deployment Mastery: Hands-on expertise with ArgoCD, Helm Charts, and managing high-scale RedHat Linux-based environments. • Observability & Tools: Experience utilizing enterprise logging/monitoring tools such as Splunk, Elasticsearch, Kibana, Prometheus, or Jaeger. • Optimization & Data: Knowledge of Oracle RDBMS, PostgreSQL, and Kafka messaging frameworks. • Development Fluency: Understanding of Java, Spring Boot, TypeScript/JavaScript, and RESTful API design. • Infrastructure Competency: Exposure to OpenShift, Docker, and container-orchestration at scale. • Risk Management: Proven track record of anticipating technical risks and resolving obstacles proactively to ensure project timelines. • Business Acumen: Demonstrated ability to translate complex business needs into prioritized technical requirements for internal and external stakeholders. • Mentorship: Documented experience leading technical teams, improving team output, and fostering a collaborative culture of continuous improvement. • Problem Solving: Demonstrated ability to independently resolve issues across multi-layered, complex software systems and mission-critical infrastructure. Additional Information Relocation Assistance Provided: No #LI-Remote - This is a remote position Candidates should be aware that this role involves a client's critical infrastructure; shortlisted candidates would therefore be subject to heightened security checks as directed by our clients. All personal data will be handled with the utmost confidentiality and in accordance with our data protection policies, solely for recruitment and security purposes.

Description ScyllaDB is the leading next-generation NoSQL database, built for teams that need extreme throughput and predictable low latency at massive scale. Our engineers work across 15+ countries, and we hold ourselves to the highest standards of software engineering and performance optimization. Every microsecond counts here, and so does every engineer. The Role: We’re looking for a hands-on Software Development Team Leader to lead a small, exceptionally talented team at the heart of the ScyllaDB server. This is not a “manager who used to code” role. You’ll spend about half your time writing and reviewing code, and the other half helping your team do the best work of their careers. What Your Team Owns: Your group is responsible for the ScyllaDB server core, the layers that decide how data is stored, moved, protected, and recovered: • The I/O stack and caches that keep latency low under heavy load • Data placement with tablets, ScyllaDB’s approach to elastic, dynamic data distribution • Compaction, repair, and compression, which keep data correct, consistent, and efficient over time • Encryption, backup, restore, and object storage management, so customers can trust ScyllaDB with their most critical data You’ll work closely with other core development teams, the cloud team, and our field teams, so you’ll see firsthand how your work affects some of the world’s most demanding production deployments. What You’ll Do • Lead, coach, and grow a distributed team of 4–6 talented engineers • Stay deeply hands-on, spending roughly 50% of your time designing, coding, and reviewing performance-sensitive software • Develop in the open, as part of a collaborative open-source community • Champion the use of AI tools to make the team faster and more effective • Communicate clearly and publicly through mailing lists, commit messages, design discussions, and bug reports • Partner with field, cloud, and core teams to turn real-world customer needs into robust engineering solutions Requirements • 5+ years of experience developing kernel or server-side systems • Strong, modern C++ skills (C++20) • A highly analytical mindset and a love of solving hard problems • A track record of raising the bar, both in your own code and in the people around you • Excellent communication and collaboration skills, especially in a distributed environment Nice to Have • Experience with database internals • Hands-on experience with cloud object storage such as AWS S3 or Google Cloud Storage • Open-source development experience • A degree in Computer Science or a related field, or equivalent experience

Description ScyllaDB is seeking a highly skilled Director of Software Engineering to lead our talented software development teams. In this pivotal role, you will be responsible for driving the technical vision and strategy of our software products while ensuring the delivery of high-quality solutions. You will collaborate with cross-functional teams to foster innovation, optimize processes, and mentor engineers, ultimately contributing to the success of our cutting-edge database technology. Responsibilities: • Manage a geographically distributed group of very talented 10-20 developers • Develop and implement technical strategies that enhance product delivery and performance. • Foster a culture of continuous improvement, encouraging innovation and professional development among team members. • Collaborate with product management and other stakeholders to define project scope, timelines, and deliverables. • Monitor and evaluate the effectiveness of software development processes, implementing best practices as necessary. • Oversee the recruitment, training, and performance management of engineering staff, ensuring a high level of talent within the organization. • Act as a key decision-maker in technology choices and architecture, ensuring scalability and robustness of software solutions. • Provide technical guidance and mentorship to engineering teams, promoting best coding practices and collaboration. [Qualifications] • Extensive experience in low latency, high throughput low level applications (C/C++ experience - substantial advantage • Knowledge and experience in designing and delivering mission critical, highly available, clustered applications • Knowledge and experience in database and/or storage technologies - advantage • Leading the requirements, design, development, quality assurance and overall delivery end to end of related features, bug fixes and enhancements. Requirements • Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred. • A minimum of 10 years of experience in software engineering, with at least 5 years in a leadership role. • Proven track record of managing large-scale software projects and leading engineering teams to success. • Experience with cloud computing technologies and distributed systems is highly desirable. • Exceptional communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders. • Demonstrated ability to drive technical innovation and adapt to changing market demands. • Passion for technology and a deep understanding of software engineering principles.

About Telnyx Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications. We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team. Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers. The Opportunity As an Elixir Telephony Engineer at Telnyx, you will create and deploy groundbreaking applications that are part of the Telnyx Telephony platform. Projects often start with a kickstart question and our Engineers lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As a Telnyx software engineer, you leverage everything around you: Telnyx products, open source technologies, and anything you and your team can build to drive real impact. AI-assisted engineering is an integral part of how we work. We actively use AI agents to accelerate software development, troubleshoot complex issues, and assist with deployments and operational workflows. We leverage our own Telnyx Inference product to power AI-driven engineering workflows, continuously exploring new ways to improve developer productivity, code quality, and operational efficiency. You work with users around the globe, where you help our customers by solving their communications challenges. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes. You Will: • Design, build, and maintain APIs, services, and systems across Telnyx’s telephony engineering teams. • Work with engineers across the company to build new telephony features at large-scale. • Improve engineering standards, tooling, and processes. • Identify, optimize and resolve issues related to latency, scalability, and performance of core telephony infrastructure. What We're Looking For • Have 2+ years of professional software development experience with the Elixir programming language. • Have deep knowledge of microservice architecture patterns and anti-patterns. • Understand the challenges inherent in concurrent and distributed programming. • You take a thoughtful approach to decision making, knowing when to move fast and when to long-term optimize. • You want to work in a fast-paced, product-driven environment. • You keep up to date with the latest technologies and patterns, and enjoy sharing what you’ve learned. Bonus Points For • SIP and other VoIP related protocols and technologies like RTP, WebRTC, ICE, STUN, TURN • Consul, Docker, Kubernetes, Github Actions, Ansible, Grafana, Graylog, Prometheus

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Staff Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. What you'll do: • Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance • Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions • Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment • Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure • Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Required Skills and Experience: • 8+ years of experience in software engineering with demonstrated success building highly available, distributed systems • Deep domain expertise in applied cryptography, Key Management Systems (KMS), or Hardware Security Modules (HSMs), with proven experience safely implementing cryptographic protocols (Multi-Party Computation experience strongly preferred) • Extensive programming experience in systems languages such as Golang, Java, C++, or Rust, with ability to operate in a Golang-heavy environment • Proven track record operating Tier-0 or highly critical infrastructure where system resilience, security, and low latency are absolute prerequisites • Demonstrated experience leading a team's technical strategy, architecture, and deliverables for large-scale projects, including navigating complex regulatory requirements and translating them into robust engineering solutions • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Position ID: P77422 #LI-Remote • Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. • Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. • US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. • Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. • Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

Build the Future Workforce Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it’s already operating at scale inside some of the world’s largest organizations. Wand built the world’s first Agentic Labor Infrastructure enabling governments and global enterprises to create, manage, and scale digital workforces. Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy. We’re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale. Join Wand in leading the Agentic Shift Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more- always with a focus on delivering real value to customers. You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern. Position Summary We're hiring a Staff Software Engineer to build the AI and agentic engines behind governance at Wand: systems that reason over messy, non-deterministic organizational data to catch policy violations, flag risk, and surface what humans actually need to see. This isn't about using AI day to day. It's about having built it: agentic workflows, models, or systems that went from idea to production. You'll join the Org Intelligence team as one of its most senior technical voices, with the autonomy to propose an approach, defend it, and then go build it, largely on your own. We're a small, remote-first, high-trust team. There's no hand holding here and not much process either. You own the problem end to end. Role Responsibilities • Design and build AI and agentic systems that analyze organizational data to catch policy violations, compliance risks, and governance issues, often from ambiguous, non-deterministic signals. • Build agents and pipelines that use LLMs to reason over large volumes of data, going well beyond deterministic, rule based checks. • Architect and build knowledge graph systems that model organizational structure and relationships, and make that context usable by agents. • Take a fuzzy, undefined problem ("find policy violations across messy data"), propose a real technical approach, defend it, then build it with minimal oversight. • Bring engineering rigor to inherently fuzzy territory: testing, evaluating, and iterating on how well your agents actually perform. • Partner with the rest of the Org Intelligence team to get AI-driven insight into the product's governance and compliance surfaces. • Contribute across the stack when it helps, though the core of this role is the AI and agent layer, not the UI. Key Requirements • A track record of building AI systems as a creator, not a consumer. You can talk in real depth about an agentic workflow, model, or system you built and shipped, not just a tool you use day to day. • Experience building or working with knowledge graphs in a real, shipped system. • Experience building agents or LLM based systems that reason over unstructured or ambiguous data, not simple deterministic pipelines. • Comfortable owning a project from architecture to delivery with real autonomy: you propose the design, defend it, then build it. • Strong software engineering fundamentals and the independence to thrive in a fast moving, remote first, senior-heavy team. • A history of turning fuzzy, non-trivial problems into concrete, working systems. • Practical experience with knowledge graph tooling: graph databases and query languages such as Neo4j/Cypher, RDF/SPARQL, Amazon Neptune, or similar. • Hands on experience with LLM provider APIs (OpenAI, Anthropic, or similar) and agent frameworks such as LangChain or LangGraph. • Comfortable with retrieval infrastructure like vector databases (Pinecone, Weaviate, pgvector, or similar) for grounding agent reasoning in organizational data. • Strong in a language well suited to graph construction, agent pipelines, and data analysis Preferred Experience • Experience building security, risk, or compliance related tooling, especially anything involving policy or violation detection. • Prior experience at a company building agentic or AI-native products, rather than bolting AI onto an existing product as a feature. • Comfortable working fully remote, across time zones, on a small and highly autonomous team.

Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working on the C++ Functional Team, you'll build the high-performance code at the core of DuckDuckGo's browser using modern C++ and Chromium, and work on related projects. You can expect to work on projects like: • Implement tracker blocking that stops hidden trackers on every site without slowing page loads. • Bring VPN and Personal Information Removal into the browser through the DuckDuckGo subscription. • Catch startup and responsiveness regressions automatically, so the browser stays fast as it grows. As a Senior C++/Chromium Engineer, you'll lead complex projects from proposal through post-mortem. You'll turn vague problems into clear plans, build them in a large modern C++ codebase, and use metrics to show they worked. Some days that means low-level systems work. Others, it means architecture decisions the whole team builds on. You'll collaborate with design and product, mostly asynchronously, to build features people use to protect their privacy. About You • Ability to lead and collaborate on high-impact, complex projects from proposal through post-mortem • Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics • 7+ years of software engineering experience • Advanced modern C++ expertise (C++23 or newer), including memory management, concurrency, and performance profiling • Experience driving technical work end-to-end on large-scale C++ codebases • Comfort with large build systems, debuggers, and profilers • Experience shipping software to a large consumer audience • Solid computer science foundation (algorithms and data structures) • Bonus: Windows development experience • Bonus: experience with browsers (Chromium, WebKit, WebView), game engines, or large desktop applications Compensation This role is paid on a regional pay scale, in local currency, and stock options: • United States: $190,500 USD annually • United Kingdom: £134,600 GBP annually • Canada: C$253,500 CAD annually • Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire. Diversity, Equity and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to [email protected] to let us know the nature of your request. Please note that: • You’ll be required to attend meetings on camera via video conferencing • Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. • While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. • A successful candidate must pass a background check as a condition of joining the team. • By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: • Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes. • Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. • Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us at [email protected]. Thank you for your interest in joining DuckDuckGo!

The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. About the role As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. What you'll do • Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design • Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications • Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback • Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities • Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows About you • 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer • Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) • Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production • Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries • Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases • Solid experience with concurrent Python: threading, multiprocessing, and async patterns • Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: • Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role • Familiarity with ClickHouse or similar high-performance OLAP platforms • Familiarity with the JVM ecosystem • Experience deploying AI/ML models in production, including inference APIs and vector databases • Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus Perks • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. • Healthcare - Employer contributions towards your healthcare. • Equity in the company - Every new team member who joins our company receives stock options. • Time off - Flexible time off in the US, generous entitlement in other countries. • A USD$500 Home office setup if you’re a remote employee. • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here for our Privacy Statement.

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer on GitLab's Security Factory: Code Scanning team, you help developers find and fix security issues. Those issues live in the code they write, and you set the technical direction for the static analysis engine that finds them. Your work spans two complementary parts of a complete security analysis. On the engine side, you shape how the static analysis toolkit models a program: parsing source into intermediate representations, resolving symbols, building call graphs, and tracking tainted data across files and languages. You define the architecture and specifications the team builds against, and you delegate component specifications within them to engineers and to the AI agents that implement them. On the evaluation side, you build and apply tooling that tests, measures, and validates what the engine finds against benchmark applications with known vulnerabilities. What the engine can model and how we measure what it finds are parts of one picture. As a Staff engineer you hold that picture, shape the long-range technical goals of the team, and raise the bar for every engineer on it. We build the engine with AI agents that write and review code from written specifications, under human direction. We expect you to direct that work effectively and with good judgment, and to help the team do the same. What you do • Act as the directly responsible individual (DRI) for the team's highest-scope initiatives from design through delivery, shipping large features with minimal guidance and shaping the long-range goals of the team • Bring systems built by one engineer to team ownership through documentation, tests, and shared review • Set the technical direction for the AI-assisted tooling that implements, reviews, and validates engine changes and findings, design the checks that decide whether an agent-written change or generated result is fit to merge, and measure detection quality against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes static application security testing (SAST) rules mapped to CWE and OWASP, and the test fixtures that prove they work. • Own the architecture of the program model (parsing, symbol resolution, intermediate representations, call graphs, and taint and data-flow analysis) and of the pipeline that turns source code into findings, and define how both extend to new languages and frameworks • Solve technical problems of the highest scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, UX, and partner teams such as Code Security and Composition Analysis • Mentor all engineers on the team through code review and pairing, remove blockers to their autonomy, and shepherd the definition and improvement of our internal standards through review • Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues • Define the overarching architecture and specification documents for the engine, delegate component specifications within them, and drive their implementation by AI agents and engineers working independently through phased plans, small reviewable units of change, and specifications kept in lockstep with the code • Build and maintain the harness, agent instructions, and agentic skills that keep agent-written code trustworthy, including separate coding and reviewing agents, rules and tests the coding agents cannot change, independent review panels of agents from different model providers, and performance, API, and dependency gates, with risky changes escalated to human review • Stay current with research in program analysis and security, run AI-assisted research and spikes, and turn the findings into prototypes, proposals, and upstream contributions, including responsible disclosure of findings in open source projects What you bring • Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't • Extensive professional experience writing, testing, and reviewing production code in Rust, Go, or a comparable systems language, with depth in at least one. The engine is Rust, the analyzer wrapper is Go, and the monolith integration is Ruby, and we value willingness to work across them. • Experience with performance optimization and with containerized workflows and CI/CD (we use Docker heavily) • A deep program analysis and static analysis background, such as parsing and ASTs, intermediate representations (SSA, control-flow and call graphs), taint and data-flow analysis, type inference, incremental and fixpoint computation, or writing detection rules, with the ability to read, evaluate, and apply the research literature • Deep application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) • Demonstrated capacity to communicate clearly and concisely about complex technical, architectural, and organizational problems, and to write architecture and design specifications that bring a team to a decision • A track record of taking ownership of ambiguous, team-wide problems and shipping them from concept to production with minimal guidance, with specific, regular async updates on progress, blockers, risks, and next steps • Experience defining a system's overarching architecture, delegating component specifications to engineers and AI agents, and getting them implemented reliably • A track record of mentoring engineers, raising a team's technical bar, and influencing technical direction by achieving consensus with peers and leadership Helpful experience • Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration • Experience designing guardrails for agent-written code, such as mutation testing, fuzzing, and CI gates the coding agent cannot modify • A record of engaging with the research community, such as publications, tool papers, or upstream open source contributions in program analysis or security About the team The Security Factory: Code Scanning team develops GitLab's SAST capabilities for customer software repositories. We work closely with the Code Security team on scanning rules & flows, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800—$259,200 USD How GitLab Supports Full-Time Employees • Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: • Solve a scaling bottleneck in a critical service • Deploy a new feature to production, progressively rolling it out with feature flags • Investigate and fix a production issue from a service your team owns • Design a way to scale up a service for more traffic • With your team, plan the most important projects to work on next Who You Are: • You have significant experience in one or more languages • You value code simplicity and performance • You can design architecture to solve problems at high scale • You have a BS/MS/PhD in a scientific field or equivalent experience • You want to work in a fast, high-growth startup environment that respects its engineers and customers • You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how • You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products • You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs • Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our Internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-NC4 #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: • Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts • Build mission-critical solutions that customers depend on daily • Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Who You Are: • You have 6+ years of experience • You have a BS/MS/PhD in a scientific field or equivalent experience • You are proficient in Go • You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational quality of what you ship • You have experience with large scale distributed systems • You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output • Bonus Point: You have experience with Kubernetes, workflow orchestration systems, or building AI agents Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: (Describe opportunities offered here) • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: • Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments • Write in Go, Java, Rust or C++, amongst other languages • Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components • Own meaningful parts of our service, have an impact, grow with the company Who You Are: • You have a BS/MS/PhD in a scientific field or equivalent experience • You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) • You have been exposed to working on problems (high durability / low latency /…) • You can get down to the low-level when needed • You care about simple designs and performance • You want to work in a fast, high-growth startup environment that respects its engineers and customers • You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how • You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output • Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our Internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Description Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%. We’re looking for full-stack engineers who are passionate about technology and data to join our team in building modern, cloud-native production systems that process terabytes of data daily. In this role, you’ll contribute to the development of a new product at Coralogix, working with Rust on the backend and Angular on the frontend, and other cutting-edge technologies - all deployed in AWS on Kubernetes. Our tech stack includes Rust, TypeScript, Kafka, MySQL, PostgreSQL and more. Requirements • 5+ years of software development experience. • 3+ years of experience developing and operating distributed systems in production. • 2+ years of experience writing backend code in Rust / Scala. • Proficient with AI tools. • Experience with Kubernetes and Docker containers. • Strong analytical and problem-solving skills. • Strong Product oriented mind-set. • Excellent written and verbal communication skills. Advantages: • Experience with modern Javascript frontend frameworks (Angular, React etc.) • Experience with AWS, GCP • Ability to multitask, organize, and prioritize work Cultural Fit We’re seeking candidates who are hungry, humble and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you. Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.

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 We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to • Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page • Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do • Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render • Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling • Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser • Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) • Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service • Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems • Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs • Linux process isolation and resource management, concurrency, and memory management • Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with • Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine • Building or maintaining a patched browser that you wrote the patches for • Browser instrumentation, including the Chrome DevTools Protocol • Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) • Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on • Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? • Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? • A page runs a script that never yields. How do we detect and stop it without help from the page? • Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? • Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. We conduct coding interviews as part of the process. 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.