Jobs in Tel Aviv-Yafo

Bookkeeper

Bookkeeper

Product Marketing Manager

Product Marketing Manager

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 • Define and continuously refine messaging and positioning for ScaleOps products and features, ensuring clarity and consistency across all channels and audiences. • Lead end-to-end GTM strategy for product launches, from naming and positioning through enablement, campaign orchestration, and post-launch measurement. • Own analyst relations completely, including managing relationships with firms like Gartner and Forrester, coordinating briefings and inquiries, responding to research requests, and ensuring ScaleOps is accurately and favorably represented in relevant reports and evaluations. • Conduct win/loss interviews, competitive analysis, and customer research to sharpen positioning and keep the team ahead of market shifts. • Develop high-quality sales and customer-facing materials, including pitch decks, one-pagers, battlecards, and technical explainers. • Collaborate closely with Product, Sales, DevRel, and Content to ensure a unified narrative across the funnel. • Act as the voice of the market in roadmap planning, pricing discussions, and strategic initiatives. • Identify opportunities to incorporate AI tools into content creation, competitive research, and campaign workflows to increase speed and quality of output. • Track and report on PMM impact across pipeline influence, win rates, analyst positioning, and content usage. What You'll Bring • 4–6 years of B2B SaaS product marketing experience; devtools, infrastructure, or cloud experience is a strong plus. • Proven ability to translate complex technical concepts into strategic business narratives that resonate with both technical and executive audiences. • Exceptional writing and storytelling skills, with a developer-savvy tone and strong instincts for what lands with infrastructure buyers. • Experience owning product launches end-to-end, with a track record of driving measurable pipeline impact. • Hands-on experience managing analyst relations, including briefings, inquiries, and report participation with major firms. • Comfortable operating in a high-growth startup environment with a high degree of autonomy. • Deep knowledge of Kubernetes, cloud cost, or the DevOps ecosystem is required. • Curiosity about AI tools and how they can accelerate research, content, and go-to-market execution.

Backend Engineer

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.

Backend Developer

Business Applications Manager - IL

Business Applications Manager

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.

Product Manager

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.

Product Manager

AI Platform Team Lead

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

AI Engineer

Senior DevOps Engineer

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.

DevOps Engineer

Senior Manager, Detection Ops & Threat Research Infrastructure

SentinelOne · Tel Aviv-Yafo

Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior Manager of Detection Ops & Threat Research Infrastructure, you will be tasked with leading the engineering organization that designs, builds, and operates the infrastructure powering SentinelOne's malware detection research, threat intelligence, and internal security tooling ecosystem. Your teams provide the high-scale sandboxing, live detection delivery, fleet management, researcher-facing tooling, and threat intelligence infrastructure that security researchers rely on to solve problems no one else has solved before. You will partner closely with detection engineering, threat research, AI/ML, and product teams to ensure researchers and engineers have reliable, secure, and scalable systems to research malware, validate detections, and ship protection to customers at scale. What Will You Do? Primary responsibilities include: • Lead and grow multiple engineering teams each responsible for a critical piece from SentinelOne's detection & threat research to the delivery pipeline. • Own the architecture, scalability, and reliability of a diverse set of high-scale systems, including cross-platform (Windows, Mac, Linux) sandboxing and malware execution environments, live security content delivery and fleet management pipelines, internal research tooling platforms, and threat intelligence infrastructure. • Drive the integration of AI into our operations workflows, from accelerating threat research and detection validation to surfacing insights from threat intelligence data at scale. • Oversee capacity planning, cost management, and technology decisions supporting high-scale, and integration-heavy systems. What Skills and Knowledge Will You Bring? Ideal candidates will have: • 3 or more years of proven experience managing multiple engineering teams or managers, ideally in infrastructure, platform, or security engineering organizations. • Experience in the cybersecurity field is required, experience specifically in endpoint security is strongly preferred. • Experience with malware analysis, sandboxing platforms, or threat intelligence platforms. • Experience with Kubernetes or equivalent container orchestration platforms, operating infrastructure at scale. • Hands-on experience with AI technologies and a track record of integrating them into engineering systems or workflows. • Strong leadership, communication, and cross functional collaboration skills, with the ability to work closely with security researchers and engineers. • Experience with EDR or XDR products and their telemetry is preferred. • Comfort operating in environments with access to sensitive in-house data, numerous unique system integrations, and high-scale infrastructure. Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards • Restricted Stock Units (RSUs) • Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing • Competitive leave benefits • Gender-neutral parental leave • Employee Assistant Program • Workout sessions and a Wellness App Insurance & Financial Security • Medical and insurance benefits • Pension • Employee Assistance Program (EAP) Work Perks & Flexibility • Global home office allowance • Mobile phone reimbursement • Study Fund SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles. To learn more about how we use AI in our hiring process, please review our AI in Hiring Candidate Disclosure.

Detection Operations Manager

DevOps Engineer - Autonomous Workspace Platform

From sentinelone.com

Job Description • Cloud Infrastructure & Architecture: Play an important role in shaping our AWS-first cloud architecture, with a focus on scalability, reliability, security, innovation, and long-term success. • Production Reliability: Tackle large-scale production issues and proactively improve the reliability, efficiency, availability, and observability of our cloud services. • Cross-Functional Collaboration: Work closely with stakeholders across R&D, Security, Product, and other groups to ensure seamless integration of DevOps practices. • Automation & Developer Experience: Automate and streamline operations and development processes, reduce manual intervention, and improve the developer experience. • Security & Cost Optimization: Help ensure that our infrastructure is secure, efficient, aligned with organizational standards, and cost-effective. • Cloud Operations Excellence: Drive improvements in deployment practices, monitoring, infrastructure management, and operational maturity. Qualifications • 4+ years of relevant DevOps experience in large-scale production environments. • Extensive experience with cloud computing technologies, preferably AWS. • Experience with monitoring and observability tools, especially Grafana. • Proven experience with Infrastructure as Code tools, such as Terraform. • Experience with GitOps and CI/CD methodologies and tools. • Proven experience working with Kubernetes or managed container services, such as EKS, AKS, or ECS, in production environments. • DevOps security mindset, including understanding of secure development lifecycles, cloud security, and infrastructure security. • Strong ability to independently analyze problems, suggest practical solutions, and drive implementation end to end. • Excellent communication skills and the ability to work effectively with cross-functional stakeholders. Preferred Qualifications • Experience with both AWS and Azure. • Experience with managed data services such as MongoDB Atlas, Azure Data Explorer, Cosmos DB, Amazon RDS, or Amazon Aurora. • Experience with PostgreSQL management, performance tuning, and optimization. • Python scripting or development experience.

Job Description • Operate and modernize development infrastructure across on-premises and cloud environments, contributing to cloud migration and adoption of infrastructure as code. • Build and evolve CI/CD pipelines and build infrastructure to accelerate development, testing, and release workflows. • Maintain core development tools and infrastructure services, including GitLab, Artifactory, RabbitMQ, and Temporal. • Deploy, manage, and troubleshoot containerized workloads using Docker, Kubernetes, and Helm. • Develop automation, internal tools, and integrations using Python, Bash, or Go. • Support R&D teams, resolve service requests, and participate in the team’s duty and on-call rotation for critical development services. • Strengthen monitoring, logging, and alerting, investigate incidents, and automate recurring operational work. • Apply AI engineering tools and agentic workflows to accelerate daily tasks and develop internal automation. • Collaborate with development and security teams, maintaining clear documentation and operational runbooks. Qualifications • 3+ years of experience in DevOps, platform engineering, infrastructure engineering, or a related role. • Strong Linux administration skills and practical troubleshooting experience across systems, networking, and development infrastructure. • Strong scripting and automation skills in Python or Bash. • Experience building and maintaining CI/CD pipelines using tools such as GitLab CI or GitHub Actions. • Hands-on experience with Docker and Kubernetes. • Practical experience with a public cloud platform, preferably AWS. • Experience with infrastructure as code or configuration management tools such as Terraform or Ansible. • Experience with monitoring, logging, and production troubleshooting. • Strong practical proficiency with AI engineering tools, including coding assistants and agentic workflows; the ability to integrate them into engineering processes, assess output quality, and stay current with industry innovations and best practices. • A service-oriented approach, clear communication, and ownership of issues through resolution. • The ability to independently research unfamiliar technologies and implement practical solutions. Nice to Have • Experience migrating on-premises workloads to the cloud or operating hybrid environments. • Experience with Helm and GitOps tools such as Argo CD or Flux. • Experience operating GitLab, Artifactory, RabbitMQ, or Temporal. • Familiarity with Prometheus, Grafana, or centralized logging platforms. • Software development experience in Python or Go, including internal developer tooling or AI agents. • Experience with virtualization or Windows/macOS administration.

DevOps Engineer

Senior DevFinOps Engineer

Job Description • Act as a DevFinOps Engineer within a highly skilled team, bridging engineering and finance to drive cloud cost efficiency across large-scale operations from development to production. • Design, develop, and maintain Avanan's cloud cost visibility, allocation, and optimization solutions — including tagging strategies, cost dashboards, budgets, and anomaly detection across accounts and services. • Implement tools and procedures for cost monitoring, forecasting, and alerting across our SaaS multi-tenant product family. • Embed FinOps practices into the CI/CD lifecycle — surfacing the cost impact of changes early, and enforcing cost guardrails as part of deployment automation. • build AI-based FinOps agents for cloud services at the infrastructure and application levels • Continuously identify and execute cost-optimization opportunities (right-sizing, reserved capacity/savings plans, spot usage, storage tiering, idle-resource cleanup) without compromising performance, reliability, or security. • Partner with engineering teams to drive cost accountability — providing unit-economics insight (cost per tenant/feature/service) and making cost a first-class engineering metric. • Plan capacity and model the financial impact of scaling decisions, balancing cost efficiency with fault tolerance and growth. • Design and shape our cost reporting, chargeback/showback, and budgeting solutions. • Execute all tasks with cloud infrastructure security and financial governance as guiding principles. Qualifications • Hands-on mindset – we all write code daily! • 3+ years of relevant DevOps/Cloud experience building and operating CI/CD pipelines for both development and production – must. • 2+ years of AWS Cloud experience working with high-traffic systems and multiple services, with a strong grasp of AWS pricing models and cost management tooling (Cost Explorer, CUR, Budgets, Compute Optimizer) – must. • Strong scripting skills, with fluency in Python – must. • Experience working with AI tools to achieve cloud or application cost control, identify and investigate the root cause of cost changes (differentiating between organic growth / infrastructure change / config change / application change). • Demonstrated experience driving measurable cloud cost reductions and building cost-optimization tooling or automation – must. • Experience with containers and orchestration tools (Docker, Kubernetes, or ECS) and understanding of their cost drivers – must. • Familiarity with FinOps principles and practices (FinOps Foundation framework, showback/chargeback, unit economics) – an advantage. • Experience with CI integration tools such as Jenkins. • Familiarity with AWS CloudFormation and infrastructure-as-code – an advantage. • Exposure to a wide range of open-source technologies (Redis, Nagios, Grafana, Prometheus, etc.) and cost-analytics tooling. • Knowledge of best practices in security, performance, monitoring, and cost governance. • Proven ability to research, evaluate, and implement new technologies, including running proofs of concept and cost analysis. Huge advantage: measuring and controlling AI cost

FinOps Engineer

Senior Pipeline Engineer

Job Description Check Point is a leader in cyber security — and we're the startup inside it. Our team builds Check Point's workspace security platform, AI-driven end to end: agents that correlate alerts and detections from a multitude of security products into complete attack stories with remediation, and turn configuration events into posture recommendations. With strong initial market validation, we're eager to deliver and grow fast — startup pace and ownership, backed by the reach, data and security research of an industry leader. Responsibilities • Design and build the pipeline that correlates alerts and detections from multiple security products into coherent, complete attack stories with actionable remediation • Build AI agents at the heart of the product, including prompt engineering, tool integration, evaluation frameworks, model migrations, and production-grade quality, latency, and cost optimization • Design event-driven, high-scale services on AWS managed services, along with the underlying data models and query paths • Own your domain end-to-end in production, including data, dashboards, alerts, and reliability • Work directly with Product Managers and Security Researchers to define what constitutes a correct attack story and a useful recommendation Qualifications • 4+ years of hands-on experience with AWS and its managed services • Proven experience leveraging AI in production products, including LLM and agent integration, prompt and tool design, evaluation, latency optimization, and cost control • Demonstrated use of AI tools in day-to-day software development workflows • Experience designing and implementing event-driven and microservices architectures • Strong experience with data pipelines and databases, including schema design, query optimization, and large-scale systems • B.Sc. in Computer Science from a leading university or college • Self-starter with a strong sense of ownership who thrives in a small, fast-paced environment • Passion for engineering excellence and product delivery, with a focus on both code quality and customer impact Advantages • Hands-on Python experience; our primary technology stack is Python • Cybersecurity background, including detection engineering, incident response, SOC workflows, or security products • Data engineering background, including large-scale data ingestion, analytical data stores, and stream-processing systems

Pipeline Engineer

Strategic Cyber Intelligence Researcher

Cyber Intelligence Researcher

Job Description The Threat Landscape Operations team is a key part of Check Point Research. It is responsible for conducting threat research and developing some of Check Point’s major research assets. The team focuses on analyzing and tracking cybercrime, developments in AI, hacktivist activity, and emerging adversary trends. Its research supports strategic and operational intelligence, thought leadership, and the development of advanced security technologies. Working with us will give you access to unique data sources and visibility into some of the world’s most advanced cyberattacks. You will lead exciting research projects for public release, customers, and internal stakeholders. We are looking for an experienced, proactive, and independent team member who can lead dynamic, in-depth research and shape the team’s long-term vision. Major Responsibilities • Research and analyze cyber threat actors. • Be the first to flag trends, new malware, threat actors and intelligence items that stand out in the crowd • Execute the full intelligence research lifecycle:• Monitoring and analyzing the digital “underground” - including the DarkNet, the DeepWeb, and other open and restricted sources • Gather & flag intelligence that stands out. • Assess, validate, and refine raw information into high-confidence insights • Produce clear, well-structured written research and threat assessments • Build, maintain, and continuously evaluate a diverse set of reliable intelligence sources • Identify long-term trends, relationships, and shifts in adversary behavior • Conduct deep intelligence collection operations and collect proprietary intelligence • Collaborate with other researchers and internal stakeholders to contextualize findings and improve threat coverage • Maintain high analytical and research standards, including sourcing, attribution, and methodological rigor Qualifications • At least 3 years of experience in Cyber Threat Intelligence (CTI) or cyber threat research • Deep understanding of cyber threat landscape and cybercriminal and hacktivists ecosystems: actors and groups, motivations and goals, tools and capabilities, attacks and campaigns • Proven experience across the full threat intelligence research lifecycle (collection, validation, analysis, production, and dissemination) • Strong WEBINT research and virtual HUMINT operations skills, including source discovery, validation, and long-term source management. • Excellent analytical abilities, strong attention to detail, and critical thinking skills • Strong written communication skills, with the ability to present complex research clearly and accurately • Ability to work independently as well as collaboratively within a research team • Experience publishing external threat research Big Plus • Knowledge of Russian, Spanish, Portuguese or Mandarin.

Global Benefits Manager

Compensation & Benefits Manager

Job Description At Check Point, Total Rewards plays a key role in attracting, retaining, and supporting our people globally. We are looking for a Global Benefits Manager to build and lead our global benefits function and create clear ownership for this critical part of the employee experience. This new role combines benefits expertise, global program management, vendor governance, benchmarking, compliance, and operational excellence. You will help shape how Check Point designs, manages, communicates, and scales benefits across countries, working closely with HR, Payroll, Legal, Finance, Purchasing, Employee Experience, brokers, and vendors. As AI expands across HR, this role will also modernize benefits data, improve access to information, reduce manual work, and deliver more consistent support for employees, managers, and HR teams. Main Responsibilities • Own Check Point’s global benefits strategy, governance model, and roadmap. • Build and maintain a global benefits inventory covering offerings, statutory requirements, vendors, costs, renewals, eligibility, and employee-facing materials. • Lead benchmarking and market analysis to assess competitiveness, identify gaps, and recommend improvements. • Design, harmonize, and optimize benefits programs across health, retirement, leave, wellbeing, family, insurance, and lifestyle offerings. • Manage broker, insurer, consultant, and provider relationships, including renewals, RFPs, negotiations, service quality, and issue resolution. • Partner with HR, Payroll, Legal, Finance, Purchasing, HRIS, Employee Experience, and local teams to ensure benefits are compliant, cost-effective, scalable, and well executed. • Strengthen benefits governance, documentation, audit readiness, regulatory tracking, and decision-making processes. • Improve benefits communications, self-service, knowledge management, and HR enablement. • Use data and AI tools to improve visibility, generate insights, reduce manual work, and support better decisions. • Prepare executive recommendations, dashboards, and business cases on benefits competitiveness, spend, utilization, risks, and vendor performance. Qualifications • 7+ years of experience in Benefits, Compensation & Benefits, Total Rewards, HR Operations, HR Shared Services, or a related HR role, including multi-country benefits experience. • Strong understanding of global benefits programs, vendor management, renewals, compliance, communications, and operations. • Experience leading cross-functional projects with HR, Payroll, Legal, Finance, Purchasing, vendors, and regional stakeholders. • Strong analytical skills and ability to work with benefits data, cost trends, utilization, market benchmarks, and business cases. • Proactive, organized, accountable, and able to prioritize in a complex global environment. • Excellent communication skills and ability to translate complex benefits topics into clear guidance. • High attention to detail, strong Excel skills, and confidence working with data, dashboards, reports, and documentation. • Global mindset and ability to collaborate across cultures, functions, regions, and time zones.

Board Design / Hardware Project Manager

Job Description We are seeking a talented and driven Hardware Project Manager to join our innovative team. In this key role, you will lead the development of groundbreaking hardware projects, guiding them from concept to mass production while navigating the dynamic landscape of technology and cybersecurity. At Check Point, we value creativity and collaboration, and we are committed to fostering an environment where your ideas can thrive. As part of a global leader in cybersecurity, you will play a vital role in shaping the future of our products and services. Join us in our mission to secure the future! • Lead developing new hardware projects, ensuring timely progression from concept to mass production. • Manage strategic relationships with customers, ensuring their needs are met throughout the project lifecycle. • Define project requirements and specifications (Design/SRS) for new initiatives. • Coordinate prototype hardware builds (EVT, DVT, PVT) in collaboration with our contract manufacturer. • Manage software release processes, drawing on proven experience in software project management. • Develop and maintain project schedules, identifying critical paths and addressing bottlenecks to ensure smooth execution. • Collaborate on engineering deliverables, including specifications, test plans, reliability testing, and engineering validation. • Conduct audits and manage quality control for production carried out by ODMs. • Communicate the impact of scope changes to all stakeholders, including customers, regarding cost, timing, and quality implications. • Provide regular updates on program statuses, highlighting potential risks and setbacks, and developing mitigation strategies. • Offer basic debugging support for hardware issues. • Collaborate with customers and partners to address field issues and technical inquiries. Qualifications • Bachelor of Science in Electrical Engineering • Knowledge of hardware design techniques and hardware schematic principles • Experience in board design (At least 2 years) and evaluation of HW vendors • At least 2 years experience in managing Hardware projects • Experience in SW engineering and project management • Excellent communication, organizational, and leadership skills • Self-motivated and proactive with demonstrated creative and critical thinking skills • Detailed knowledge and understanding of product development processes • Strong engineering/technical background/Hands-on approach • Experienced in various project planning tools such as Jira and MS Project • Self-motivated, able to accept new challenges and motivate others Advantages: • PMP Certification • Background in network protocols • Background in embedded systems • Knowledge of C/C++ language programming for embedded systems • Knowledge of cloud services, cyber security and computer networking • Management of overseas sub-contractors experience • Knowledge in production and manufacturing

Job Description • Design and develop modern frontend and backend applications and product features for Check Point's Endpoint Security platform • Build a fast, scalable, and enterprise-ready SaaS application using modern frontend and backend technologies • Take an active role in frontend and backend architecture, infrastructure, and technical decision-making • Work closely with product managers, UX designers, backend engineers, QA teams, and additional stakeholders • Translate product and design requirements into intuitive, polished, and high-quality user experiences, backed by robust, scalable services • Measure, analyze, and improve application performance, usability, reliability, and maintainability • Use AI-powered development tools to improve development velocity, code quality, testing, and problem-solving • Research and introduce new technologies, tools, and engineering practices • Take ownership of features throughout their full lifecycle, from design and implementation to production and continuous improvement Qualifications • 2-5 years of experience developing modern web applications using JavaScript or TypeScript, HTML, and CSS • Strong experience with React or another modern frontend framework such as Angular or Vue • Strong backend experience with Go and Node.js (TypeScript) • Solid experience with PostgreSQL and relational data modeling • Solid experience with OpenSearch • Solid understanding of frontend and backend architecture, component-based development, state management, API design, and modern web development practices • Experience building large-scale, distributed, or cloud-based SaaS applications • Strong product mindset, visual awareness, and attention to detail • Ability to create clean, intuitive, and user-friendly interfaces in close collaboration with UX and product teams • Experience working with AI-assisted development tools and workflows • Strong communication skills and the ability to work effectively in a collaborative, cross-functional environment • Independent, proactive, and capable of taking ownership and driving tasks to completion • B.Sc. in Computer Science, Software Engineering, or equivalent practical experience Advantages • Experience with Neptune or other graph databases

Full Stack Developer

Senior macOS Developer - Workforce AI Security

Job Description • Collaborate with Windows, Backend, QA, Product Management and AI teams to ensure consistent behavior and protection across platforms • Develop new features in Swift and maintain existing Objective-C codebase • Build LaunchDaemons/LaunchAgents with XPC-based inter-process communication • Contribute to the network proxy infrastructure for network traffic interception • Leverage Apple’s system facilities to provide optimal Security • Integrate with IDEs and implement MCP protocol proxying • Manage and orchestrate proxy services deployed at runtime • Debug complex multi-process security software Qualifications • 5+ years system level development experience • 3+ years macOS development experience • Ability to demonstrate proficiency with AI Driven Development • Strong Swift skills development skills • Objective-C proficiency - maintain and refactor existing code • Deep knowledge of macOS frameworks • Experience with LaunchDaemons/LaunchAgents, code signing, packaging, notarization and privileged operations • Understanding of networking technologies and programming • Experience with Git, CI/CD • Comfortable with cross-platform development • Computer Science University degree or equivalent Nice-to-Have • Browser extension development (Safari, Chrome) • Knowledge of AI/LLM tools (VS Code extensions, Claude Desktop) • Experience with Model Context Protocol (MCP) • Network traffic inspection or packet analysis background • Endpoint Security Framework or macOS security APIs • Python proficiency • Windows development experience • Rust experience

macOS Developer

Tier 3 Support Engineer

Technical Support Specialist

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

Software Developer - AI Security

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

Software Engineer