Jobs in Tel Aviv-Yafo

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You'll Be Doing We're seeking a talented, experienced Software Engineer to join our Backend Engineering team - diving deep into Kubernetes and related technologies like Istio, Helm, and Prometheus, tackling daily engineering challenges, driving innovation in Kubernetes optimization, and working with cutting-edge tools and frameworks such as container orchestration, microservices architecture, and cloud-native applications. • Join a highly skilled team building our core product offering. • Build a world-class Kubernetes resource management platform to improve the productivity of DevOps teams across the world. • Gain a deep understanding of Kubernetes and container technologies. • Write extensive code in Go and develop deep expertise in Kubernetes internals. • Enjoy a high degree of autonomy and responsibility. What You'll Bring • A positive individual who enjoys working with others. • An experienced software engineer with significant hands-on experience developing cloud-based applications. • 4+ years of industry experience developing complex, technically demanding, large-scale systems. • A good understanding of cloud-native technologies, including container technologies and Kubernetes. • A degree in Computer Science from a top academic institution, or relevant experience as a Software Engineer in an IDF technological unit. • Someone who enjoys taking ownership and collaborating with others to build a world-class product. • The opportunity to significantly impact the company's future, working on the core product alongside top-tier engineers in a culture of innovation.

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You'll Be Doing • Join our Business Operations team and build the systems and automations that help ScaleOps operate and grow. • Turn business processes into working solutions across Salesforce and our wider technology stack. • Build and maintain Salesforce workflows, integrations, and automations. • Connect tools such as Gong, Apollo, n8n, Jira, Slack, and AI platforms so information moves reliably between systems and teams. • Build practical AI solutions using Claude and other LLM tools to improve how teams work. • Partner with GTM, Product, R&D, and other teams to understand their needs and implement solutions. • Improve data quality, build reports and dashboards, and document the systems and processes you create. • Take ownership of projects that directly affect how the company operates and scales. What You'll Bring • 4+ years of hands-on experience in business applications. • Hands-on Salesforce experience and the ability to build and improve workflows within the platform. • Experience building integrations and automations with n8n, Workato, or similar tools. • Hands-on experience building solutions with LLMs or generative AI tools; experience with Claude is an advantage. • An understanding of GTM processes and the ability to work with both business and technical teams across the company. • Strong attention to detail, a builder mindset, and the ability to deliver in a fast-moving environment. • A collaborative approach and the confidence to take ownership from request through implementation. • A relevant degree or equivalent practical experience.

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You'll Be Doing We're looking for our first-ever Product Manager to join ScaleOps and help shape the future of our platform and company. This is a foundational role with the opportunity to set the tone for product thinking, processes, and impact across the organization. You'll work closely with engineering, design, and customers to lead the ideation, development, and delivery of features that solve deep technical challenges for DevOps, SREs, and platform teams. • Own a strategic domain of our platform, and define and deliver the product roadmap. • Translate customer needs, technical requirements, and business goals into clear, well-scoped product features. • Collaborate with Engineering and Design to define, spec, and deliver features in an agile environment. • Lead customer discovery efforts to deeply understand workflows, pain points, and opportunities. • Define and track KPIs to measure product success. • Build and implement product processes and best practices as the first product manager. • Conduct competitive research and stay ahead of infrastructure product trends. • Influence product strategy and company direction as a key member of the team. What You'll Bring • 3+ years of experience as a Product Manager in a B2B SaaS environment. • Experience with infrastructure platforms, developer tools, or DevOps products. • Technical background or the ability to work effectively with engineering-heavy teams. • Strong ownership mindset and excitement to build from zero. • Excellent communication skills in English. • Ability to work in a fast-moving, cross-functional environment. • Passion for solving complex technical problems and delivering real value.

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You'll Be Doing • Lead the AI Platform team: own the internal platform ScaleOps R&D builds on, including CI/CD, Kubernetes tooling, developer experience, and infrastructure automation • Stay hands-on while leading the team day to day: delivery, technical decisions, and hiring • Build and connect AI tools for R&D and the company, and bring new tools and best practices from the market into how we build the product • Build infrastructure for the other R&D teams, from internal agentic platforms to the foundations that LLM-powered automation runs on • Partner closely with backend, product, and R&D teams, and treat engineers as your customers: measure adoption and time saved • Identify and eliminate friction in the development lifecycle through automation and self-service tooling What You'll Bring • 5+ years of hands-on experience in platform engineering, infrastructure, or AI/ML infrastructure in high-scale environments • 2+ years of proven experience leading software engineering initiatives and mentoring engineers in a production environment • Experience building self-service platforms or tooling that other engineers adopted • Strong hands-on experience with Kubernetes, cloud (AWS, GCP, or Azure), and infrastructure-as-code • Strong development skills: you have written production code, ideally Go, such as Kubernetes operators or controllers • A builder mindset, strong ownership, and curiosity about the AI market and its tooling • Full professional fluency in Hebrew and English (ב-US: “Full professional fluency in English”) • (Nice to have) Open-source contributions in the cloud-native space (Karpenter, Cilium, KEDA, Argo, Kueue) • (Nice to have) Experience with LLM serving, agentic frameworks, or MCP-based tooling • (Nice to have) Experience with scheduling, node lifecycle, or resource management in Kubernetes

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You Will Be Doing • Lead and grow a high-performing engineering organization responsible for our core product offering. • Define and execute the engineering strategy for our Kubernetes resource management platform, enabling DevOps teams worldwide to operate more efficiently. • Partner closely with Product, Design, and Go-to-Market leaders to translate business strategy into engineering execution. • Drive technical excellence, architectural direction, and engineering best practices across multiple teams. • Build, mentor, and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and continuous improvement. • Scale engineering processes, organizational structure, and delivery capabilities while maintaining a high bar for quality and execution. • Balance hands-on technical leadership with organizational leadership, making key architectural and strategic decisions when needed. • Create an environment where talented engineers can do their best work with a high degree of autonomy, accountability, and collaboration. What You Bring Along • An inspiring engineering leader who is passionate about building exceptional teams and empowering people to grow. • 7+ years of software engineering experience, including several years leading engineering organizations in high-growth SaaS or cloud infrastructure companies. • Proven experience managing multiple engineering teams and developing engineering managers. • Strong technical background in distributed systems, cloud-native technologies, Kubernetes, and containerized environments, with the ability to engage deeply in technical discussions. • Experience scaling engineering organizations, processes, and product delivery through periods of rapid growth. • A track record of partnering effectively with Product and Executive leadership to deliver business impact. • A degree in Computer Science from a leading academic institution or equivalent experience, including service in an elite technological IDF unit. • A collaborative, ownership-driven leader who sets a high bar for execution while fostering a positive, high-performance engineering culture.

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You'll Be Doing • Engage with customers to ensure their success. • Partner with the sales team to drive the customer journey, build technical wins, and grow champions. • Develop a deep understanding of customers' goals and objectives, and articulate how our offering addresses their needs. • Create and own value-based relationships at all levels within customer organizations. • Actively participate in all phases of planning and execution, from initial discovery to the technical win. • Develop and maintain deep product expertise to demonstrate the value of ScaleOps in sales meetings and at events such as meetups and conferences. • Advise the sales team on effective ways to position the ScaleOps product. • Onboard, educate, and enable partners, and support them through sales cycles. • Continuously develop your sales and technical skills through self-driven learning and ScaleOps' professional development opportunities. What You'll Bring • 3+ years of hands-on experience with cloud-native technologies such as containers and Kubernetes (required). • Minimum three years of experience in customer-facing roles such as technical sales or sales/solutions engineering (required). • Track record of success in a technical pre-sales role, with enough experience selling and implementing technology to earn customer trust. • Demonstrable ability to articulate and sell the benefits of modern platforms, software, and technologies.

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. We're hiring a hands-on VP of Operations to own daily operations, office management, business systems, and employee experience end to end. This is the person who makes sure every office runs well, every new hire has a great first day, every tool actually works, and every internal event comes off without a hitch - while building the playbooks that let all of that keep working as we double and triple in size. What You'll Own • Office & workplace management: Run the day-to-day of our offices (Tel Aviv HQ, Boston, and any new locations) - facilities, space planning, supplies, health & safety, work policy, and the relationships with landlords, cleaners, caterers, and building management. • Business systems: Own the internal tools stack (Google Workspace, Slack, expense & procurement tools, equipment provisioning, workplace tech) - select, implement, and administer new systems as the company scales, and manage IT vendor and helpdesk relationships. • Process ownership & cross-functional initiatives: Spot operational inefficiencies that cut across teams, design and roll out standardized processes (new-hire ramp, procurement requests, cross-department handoffs), and lead the cross-functional initiatives that keep GTM, R&D, and G&A in sync as headcount scales — partnering directly with functional leaders rather than owning their teams. • Employee experience: Design and run onboarding and offboarding (equipment, desk setup, first-week experience), internal communications, and the full company events calendar - all-hands, offsites, team celebrations, and holiday events - for a multi-office workforce. • Process & playbooks: Build the operational playbooks - new-hire onboarding, equipment procurement, travel & expense policy, office-opening checklist - needed as headcount doubles and triples. • Cross-office consistency: Keep the employee experience and operational standards consistent across the US and Israel offices, navigating different local norms, holidays, and vendors. • Special projects: Lead office moves and new-office openings, company offsites, and other one-off logistics-heavy initiatives. What We're Looking For • 5+ years in Workplace Operations, Office Management, People Operations, or general Operations, including experience leading a team • Has personally run office management, business systems, or employee experience at a company that scaled from roughly 100 → 500+ employees - MUST • Hands-on experience selecting and administering business/workplace tools (e.g., Google Workspace, Slack, expense & procurement platforms) and managing IT/vendor relationships • Track record designing onboarding, internal events, and employee-experience programs that scale, not just one-off logistics • Strong vendor negotiation and budget management skills • Excellent project management with a genuine "no task too small" mentality, balanced with the instinct to build repeatable systems rather than solve the same problem twice • Comfortable in a fast-paced, high-growth startup environment with shifting daily priorities Strong pluses • Experience managing multiple offices/geos, ideally including Israel or another international location • Experience opening or building out a new office location outside of Israel from scratch • Background partnering closely with People/HR and IT/Security teams

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You'll Be Doing We're looking for a Technical Account Management Lead to be on the front lines, leading a team of Technical Account Managers and working closely with customers and prospects. In this role, you will drive technical excellence in customer engagements, act as a trusted advisor, and ensure your team consistently delivers high-impact outcomes. You will partner with Sales, Product, and Engineering to shape customer success, translate technical capabilities into business value, and influence the adoption and growth of the ScaleOps platform across accounts. • Lead and mentor a team of TAMs, fostering growth, skill development, and high performance • Drive strategic customer engagements, ensuring success for our largest and most complex accounts • Partner closely with Sales, Product, and Engineering teams to align technical solutions with business objectives • Own and develop value-based relationships with key stakeholders across customer organizations • Shape customer onboarding, enablement, and adoption strategies to ensure maximum ROI from the ScaleOps platform • Influence product strategy by capturing customer feedback, requirements, and use cases • Represent ScaleOps at industry events, meetups, and conferences, articulating the value of our platform • Promote best practices and standardization across the TAM organization, improving delivery efficiency and customer satisfaction What You'll Bring • 2+ years of experience leading and scaling a team of Technical Account Managers or technical professionals, driving high performance and customer impact • 3+ years of hands-on experience with cloud-native technologies, including containerization and Kubernetes (required) • Minimum 3 years in a senior customer-facing role, such as technical presales, solution engineering, or TAM (required) • Demonstrated ability to articulate and sell the benefits of complex platforms and technologies • Strategic thinking and a customer-centric mindset, with the ability to influence both customers and internal teams

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. Senior Content Marketing Manager What You'll Be Doing • Own the content strategy and editorial calendar for the blog and technical content across the funnel. • Produce and commission engineer-grade work: architecture deep dives, benchmarks, how-tos, and thought leadership. • Own SEO end to end, and build for AEO and GEO so ScaleOps surfaces inside AI answers, not just the blue links. • Track rankings, organic traffic, and AI answer visibility, and turn the data into a continuous optimization loop. • Manage the WordPress blog end to end, plus external agencies and freelancers from brief to delivery. • Activate internal experts, especially the developer advocate and engineering, as sources and contributors. • Run the engine AI-first, using AI across research, drafting, optimization, and repurposing to multiply output. What You'll Bring • 5+ years of B2B content marketing experience; devtools, infrastructure, or cloud is a strong plus. • Credibility with platform engineering, DevOps, and SRE audiences, and comfort with R&D-world technical content. • AI-first by default, with a real track record of using AI tools to produce and scale content. • Hands-on SEO ownership and genuine fluency in AEO and GEO. • Experience managing WordPress and external agencies. • Proven ability to draw content out of internal engineers and developer advocates. • Working knowledge of Kubernetes, cloud cost, or the DevOps ecosystem. • Comfortable with high autonomy in a high-growth startup.

Job Description • Develop and maintain backend services alongside endpoint components for a cross-platform security platform • Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement • Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services) • Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers • Collaborate with AI and product teams to deliver end-to-end solutions • Troubleshoot and resolve complex issues across distributed system and endpoint components Qualifications • At least 3 years of strong production experience with Python • Backend service development (FastAPI / MongoDB / Redis) • Cross-platform software development (macOS / Windows / Linux / WSL) • Solid grasp of OS, networking and low-level concepts • Interest in the AI ecosystem - LLMs, AI agents, MCP, and the dev-tools built on top (Copilot, Cursor, Claude Code) Advantage • Rust experience (a growing part of our stack - desktop agent, MCP proxy) • Frontend (React / TypeScript / Mantine) • Security, endpoint or networking background • Docker & Kubernetes Nice to have • Reverse-engineering / digging into other apps' internals • Policy engines or data-inspection systems • Browser extensions or IDE plugins

Job Description We are looking for future Professional Services Consultants to join a unique career development program designed to prepare technical professionals for customer-facing consulting and delivery roles. The program begins within our global technical support organization, where participants will receive structured technical training, product enablement, troubleshooting experience, and exposure to real customer environments. Following successful completion of the program, candidates will transition into Professional Services as associate and take ownership of customer implementations, migrations, optimization projects, and strategic security engagements. This opportunity is designed for individuals who combine strong technical capabilities with excellent communication skills, customer-facing confidence, leadership potential, and the ability to independently drive complex technical initiatives from planning through successful delivery. Successful candidates will become trusted advisors to customers, helping design, implement, optimize, and deliver advanced cybersecurity solutions while working closely with customers, internal teams, and product experts. • Participate in a structured TAC-to-PS development program combining technical training, customer exposure, and hands-on experience. • Develop deep expertise in Check Point products, security technologies, networking, and troubleshooting methodologies. • Work directly with customers and internal teams to support technical investigations and problem resolution. • Design, deploy, and maintain advanced cybersecurity solutions. • Act as a trusted technical advisor and primary point of contact during customer engagements • Lead technical workshops, architecture reviews, and customer-facing discussions. • Identify technical risks proactively and drive resolution plans. • Collaborate with TAC, R&D, Product Management, Sales, and Project Management teams to ensure successful delivery. Qualifications • 2-5 years of experience in Networking, Cyber Security, IT Infrastructure, or Technical Support. • Excellent verbal communication skills with the confidence and professionalism required to work directly with customers, lead discussions, present solutions, and build trusted relationships. • Strong interpersonal skills and a customer-oriented mindset. • Demonstrated ownership, accountability, and ability to independently drive tasks to completion. • Strong willingness to learn, adapt quickly, and continuously develop new technical skills. • Ability to lead technical activities and collaborate effectively across multiple teams. • Ability to remain calm and effective during critical incidents and high-pressure situations. • Willingness and flexibility to participate in planned night-time activities, maintenance windows, and customer cutovers when required. • Active security clearance is an advantage. • Knowledge of scripting, programming, or automation tools is an advantage. • Excellent written and verbal communication skills in English (mandatory). Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description • Design, develop, and maintain innovative DLP cloud services. • Collaborate with team members, product managers, and other stakeholders to define project requirements and deliver high-quality solutions. • Ensure the scalability, performance, and security of the DLP cloud services. • Stay up-to-date with the latest industry trends and technologies to drive continuous improvement and innovation. • Participate in code reviews, testing, and debugging to ensure the highest quality standards. • Contribute to the development of best practices and technical standards within the team. Qualifications • At least 3-4 years of experience in software development, with a focus on full stack development. • Strong proficiency in front-end technologies (e.g., React, Angular, Vue.js) and back-end technologies (e.g., Node.js, Python, Java, Go). • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). • Solid understanding of database technologies (e.g., SQL, NoSQL). • Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Excellent communication and interpersonal skills. • Experience with data loss prevention or related fields – an advantage. • BSc or MSc degree in Computer Science, Engineering, or a related field.

Job Description • Technical Troubleshooting and Support:• Provide expert-level troubleshooting for application issues, configurations, security vulnerabilities, and general functionality. • Work closely with customers and internal teams to diagnose and resolve complex technical challenges. • Investigate application behaviors and anomalies, identifying root causes and recommending appropriate solutions. • Escalation Management:• Take ownership of escalated support cases, ensuring timely and thorough resolution. • Identify patterns in recurring issues and contribute to permanent fixes or workarounds. • Collaborate with development and product teams to address root causes and improve application reliability. • Customer Communication:• Maintain clear, professional, and proactive communication with customers throughout the support lifecycle. • Ensure solutions are tailored to meet customer needs while setting accurate expectations. • Professional Services Collaboration:• Partner with sales and other internal teams to deliver professional services, enhancing customer adoption and satisfaction. • Assist with onboarding, integrations, and custom configurations as needed. Qualifications • Experience: • Technical Expertise:• 3+ years of experience in technical support (Tier 3), professional services, or a customer-facing role within the cybersecurity or cloud computing fields. • Strong familiarity with cloud and SaaS environments (AWS, Azure, GCP) • Experience troubleshooting and debugging application-related issues in distributed cloud-based systems. • Experience with Kibana, Elasticsearch or similar • Strong knowledge of networking concepts and protocols, including TCP/IP, DNS, HTTP/S, VPNs, routing, and traffic analysis. • Hands-on experience with firewalls, network security platforms (from vendors such as Check Point, Palo Alto Networks, Fortinet, Cisco, or similar.), firewall policies, access control, and enterprise security architectures. • Automation and Scripting:• Proficiency in scripting or automation tools and languages such as Python, Bash, or similar. • Communication and Problem-Solving:• Exceptional analytical and troubleshooting skills, particularly with application-level issues. • Strong verbal and written communication skills to bridge technical concepts for diverse audiences. Key Attributes: • Keen attention to detail with a proactive mindset. • Ability to independently manage multiple high-priority issues simultaneously. • Collaborative team player with the ability to work effectively across departments. • Customer-centric approach with a strong passion for resolving technical challenges. Advantages: • Familiarity with containerization technologies (e.g., Docker, Kubernetes). • Experience analyzing network traffic using tools such as Wireshark, tcpdump, or similar. • Hands-on experience with cybersecurity technologies and tools such as SIEMs, NIST frameworks, Nuclei, Shodan, etc. • Knowledge of application security practices and protocols. • Prior Experience in Intelligence • Experience with Data Pipelines • Experience working with Salesforce as a ticketing system • Familiarity with Jira • Experience with monitoring and visualization tools (Grafana, Prometheus, etc.) • Working knowledge in Linux environment

Job Description • Agentic Framework Design: Design and implement intelligent, multi-agent AI systems capable of executing complex security analysis workflows and automated decision-making. • Context Optimization: Analyze diverse security datasets to determine the most effective context, telemetry data, and threat intelligence to feed into AI agents to maximize decision accuracy and minimize false positives. • Model Configuration & Integration: Evaluate, configure, and deploy a variety of state-of-the-art language models and AI architectures tailored for high-performance security use cases. • Data Analysis & Performance Evaluation: Perform deep data analysis on security events and model outputs to continuously refine agent logic, benchmark performance, and optimize AI-driven detection mechanisms. • Collaboration & Deployment: Partner with security research and engineering teams to integrate intelligent AI components into production systems seamlessly and securely. Qualifications Required Technical Skills • AI & Agentic Systems: Proven experience building applications with modern AI architectures, advanced prompt engineering, and multi-agent orchestration frameworks. • Model Management: Hands-on experience configuring, optimizing, and deploying diverse machine learning and language models. • Data Processing & Analysis: Strong proficiency in Python and data analysis libraries to manipulate, clean, and extract insights from high-velocity data streams. • Security Awareness: Familiarity with cybersecurity concepts, threat detection principles, or common security data formats (such as system logs, event tracking, or endpoint telemetry). Preferred Qualifications & Advantages • SLM & Local Deployment: Direct experience working with, optimizing, and deploying Small Language Models (SLMs) to run efficiently in local or resource-constrained environments. • Analytical Thinker: Exceptional problem-solving skills with the ability to diagnose complex system behaviors and iteratively improve AI model performance based on data. • Adaptability: Passion for staying at the absolute forefront of rapidly evolving AI technologies and applying them creatively to complex domains. • Experience: 3+ years of professional experience in data science, AI engineering, or related technical fields, with a proven track record of deploying AI-driven solutions. • Education: Bachelor’s degree in Computer Science, Data Science, Cybersecurity, or a related quantitative field (or equivalent practical experience) from a recognized and accredited university.

Job Description • Own and evolve our cloud infrastructure across multi-region production environments, end-to-end. • Lead our GitOps deployment model - designing and maintaining declarative, automated deployment workflows with zero manual gates. • Build, maintain, and optimize CI/CD pipelines with a strong focus on developer experience, reliability, and speed. • Initiate, implement, and champion an AI-first DevOps & SRE ecosystem - identifying opportunities, building AI agents and intelligent automation, and driving their adoption across engineering operations. • Develop automation frameworks for provisioning, scaling, observability, and incident response, leveraging AI-powered tooling and agentic workflows to reduce toil. • Operate and improve our observability platform: metrics, logs, alerting, dashboards, SLOs/SLIs, and on-call tooling. • Champion zero-trust secrets management and credential-less authentication patterns across the stack. • Partner with architects and engineering leadership on cloud cost optimization, availability, and performance. • Build internal tooling and automation that multiplies engineering velocity across the organization. Qualifications • 5+ years of hands-on DevOps experience in a SaaS product environment - Must. • Demonstrated initiative in applying AI to engineering operations - designing and building AI agents, agentic workflows, LLM-powered automation, or Model Context Protocol (MCP) integrations that reduced operational toil and improved production reliability, quality, or velocity - Must. • Strong scripting and programming skills - Python and Bash for automation, tooling, and AI agent development; Go is a plus. • Strong motivation to continuously learn and adopt emerging technologies, and to share that knowledge across the team. • Deep, hands-on AWS expertise; multi-cloud (AWS, GCP, Azure) experience is a strong plus - Must. • Strong understanding of containers and orchestration - Docker, Kubernetes, including workloads, networking, service mesh (Istio), Helm/Kustomize, and autoscaling (KEDA, HPA, VPA). • Strong experience with:• Infrastructure-as-Code - Terraform, Crossplane, and/or cloud-native declarative tooling. • GitOps principles and tooling (ArgoCD or equivalent). • CI/CD platforms - building reusable, scalable, security-hardened pipeline templates (GitHub Actions or equivalent). • Secrets management - dynamic injection, IRSA/Workload Identity, avoiding long-lived credentials. • Experience embedding security into CI/CD: vulnerability scanning, SBOM generation, and supply chain security (Trivy, Grype, Syft, JFrog Xray). • Solid observability knowledge - OpenTelemetry, Prometheus, Grafana, Datadog, ELK/OpenSearch, distributed tracing. • Hands-on experience with AI/ML workloads or LLMOps infrastructure - a significant advantage. • Cost-awareness (FinOps) - treating cloud spend as a core engineering metric. • Clear communication skills - able to align engineers, security teams, and leadership around infrastructure decisions. • A strong sense of ownership - proactively identifying gaps and driving improvements.

Job Description • Research the security of AI systems end to end, from the agents and frameworks they're built on to the runtimes and infrastructure that run them • Take apart complex software and find where it breaks • Turn a vulnerability into a full, working exploit, not just a proof that the bug exists • Understand the defenses modern systems lean on, and how to get past them • Share what you find, through coordinated disclosure and conference talks Qualifications • 4+ years in security research, vulnerability research, or a closely related field • A strong sense of how software works under the hood, whether that's a modern framework or the system underneath it • Comfortable reading complex code, and reverse engineering with IDA Pro or Ghidra when there's no source • Working knowledge of common vulnerability classes, from unsafe deserialization and logic flaws to memory corruption, and the experience to take one all the way to a working exploit • Excited about AI, and eager to get to its security problems first • Real curiosity, and the drive to go deep when the answer isn't obvious Nice to have • Experience researching AI systems, agent frameworks, or the infrastructure behind them • Published research, whether CVEs, blog posts, or conference talks • A degree in computer science, mathematics, or engineering, or the hands-on experience to match

Job Description • End-to-end backend and frontend development of a new cloud product in the field of Security Automation and AI. • Lead all stages of the development cycle – from requirements to production – while developing multi-tenant, high-scale, efficient, and secure code. • Be part of a growing, leading team working with state-of-the-art cloud and web technologies, including microservices architecture. • Collaborate closely with cross-functional teams and customers to solve complex problems and innovate new features. • Propose solutions for complex technical challenges. Qualifications • 3+ years of experience as a Software Developer. • B.Sc. in Computer Science. • Solid computer science fundamentals, including object-oriented design, data structures, algorithms, problem-solving, and complexity analysis. • Hands-on experience in server-side development (e.g., Node.js, TypeScript, Python, or Java). • Frontend development experience in React.js (or similar frameworks such as Angular or Vue.js) • Familiarity with cloud services (AWS, GCP, or Azure) - advantage. • Experience with REST APIs, microservices, Docker, and Kubernetes - advantage. • Fast learner, able to understand new code and technologies quickly. • Highly motivated with a deep desire to achieve outstanding results. • Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, Claude, or similar) to improve software development productivity and code quality. • A team player with a “Can Do” attitude who goes the extra mile to succeed!

Job Description Israel’s largest organizations are some of the most demanding security customers anywhere. They run complex, business-critical networks, meet strict regulatory requirements and test every claim before they trust it. They need a technical partner who’s been there. That’s where you come in. As a Senior Sales Engineer on our Strategic Sector team, you’ll be the technical authority for some of Check Point Software’s most important Strategic Sector customers in Israel. You’ll lead architecture discussions with security leaders, shape multi-year security roadmaps and turn complex requirements into designs that work. What you’ll do • Own the technical side of complex sales cycles, from discovery through design, proof of concept (POC) and technical win • Understand each customer’s technical, operational and business priorities and build security architecture roadmaps around them • Design enterprise network security architectures across data-centers, branches, cloud and remote users • Lead presentations, workshops and deep technical reviews with CISOs, CTOs and architecture committees • Lead responses to RFIs and RFPs, aligning our solutions with each customer’s requirements • Bring in the right people (specialists, partners, Professional Services and R&D) and lead them as one team • Run competitive evaluations and show clearly where our approach fits the customer’s environment • Educate customers and partners on emerging security technologies and share what you learn with the wider field team • Bring insights from the field back to our product and R&D teams Qualifications What you bring • 5+ years in pre-sales, solutions engineering or security architecture with enterprise customers • Deep, hands-on enterprise networking experience: routing and switching, BGP and OSPF, segmentation, high availability, data center design and real-world troubleshooting • Practical network security experience with firewalls, intrusion prevention, threat prevention and VPN • Hands-on experience designing and positioning Zero Trust architecture, Zero Trust Network Access (ZTNA) and Secure Access Service Edge (SASE) • Working knowledge of security products from multiple vendors and the ability to compare them honestly • Experience in complex sales with long cycles, multiple stakeholders and multi-product solutions • Executive presence: you’re as credible with a CISO as you are in a packet capture • Full professional fluency in Hebrew and English, written and spoken Nice to have • Experience working with large, highly regulated organizations and their compliance requirements • Industry certifications (Check Point, Cisco CCNP/CCIE or equivalent) • Cloud security experience in AWS or Azure • Exposure to AI security or exposure management

Job Description As the Cloudinfra Back-End Engineer you will: • Design and build new solutions/features to help our customers improve their cloud security. • Get an experience with new technologies and languages, develop challenging solutions, and have a great opportunity to grow and create impact. • Constantly Improve existing implementations. • Adapt and take on more responsibilities and own your share of the product. • Work with product managers, business, and other teams at Check Point Qualifications • 3+ years of Hands-On deep experience with AWS and its managed services (including ECS/EKS) • 3+ years of programming experience using NodeJS and additional high-level programming language • Experience in PostgreSQL/ElasticSearch/Redis/SQS/Kafka - must • Experience with micro-services architecture – must • Highest sense of ownership • Excellent communication and interpersonal skills • Achievement and striving for excellence • Flexibility, versatility and creative thinking

Job Description Check Point Research (CPR) is looking for a Threat Researcher to join its Threat Intelligence Analysis (TIA) team. The team is responsible of discovering, analyzing and tracking advanced threat actors and campaigns, with a strong focus on high-end cybercrime and state-sponsored activities. You will join a team of motivated, independent & highly technical individuals and contribute the effort to protect Check Point customers and empower the Check Point brand. • Identify, understand and monitor advanced campaigns using publicly available sources as well as internal telemetry. • Analyze malware and other hacking tools utilized by threat actors in active campaigns and intrusions. • Create technical research content for public and private intelligence reports. • Help build protections and detections based on deep understanding of advanced threat actors’ Tactics Techniques and Procedures (TTPs). • Collaborate with other security teams to assist threat intelligence and research tasks. Qualifications Your Knowledge & Skills • 5+ years of experience as a threat researcher, incident responder, malware analyst, detection engineer or other relevant roles. • Practical experience in tracking state-sponsored or advanced financially motivated actors – including malware, infrastructure and TTPs. • Profound knowledge and understanding of malware and common attacking techniques. • Hands-on experience in automating and optimizing hunting and enrichment processes using code (preferably Python). • Familiarity with query languages and data exploration tools. • Ability to translate technical findings into actionable detection and prevention signatures. • Experience in writing technical blog posts and technical analysis reports. • Experience in public speaking and presentation of research in cyber security conferences . • Fluent English.