Top Software Engineer Jobs in Jerusalem

Develop backend services and cyber defense solutions for Microsoft Security. Responsibilities include improving service lifecycles, analyzing complex system behavior, streamlining deployments, reducing costs, collaborating across engineering and security teams, and using AI-assisted development tools. The role requires hands-on backend software development experience, initiative, and the ability to design and operate scalable services in cloud or on-premises environments.

Lead end-to-end development of complex full-stack features for an AI SaaS platform. Design scalable microservices and backend architectures, implement asynchronous processing, ensure data integrity and performance, and deliver robust testing, CI/CD, and observability. Collaborate with Product, UX, and global engineering teams, use AI coding tools, mentor engineers, and build integrations involving payments, billing, subscriptions, or financial systems.

Lead complex software projects from design through production, building full-stack applications, microservices, and agentic AI systems. Collaborate with product managers and customers, integrate LLMs, monitor production services, respond to incidents, and deliver reliable, scalable solutions. The role requires strong ownership, operational awareness, and experience with Kubernetes, AWS, AI agents, tool use, RAG, and evaluations in B2B SaaS environments.

Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.

Design, build, deploy, and operate the core engine for Pentera’s AI Autonomous Attacker. Develop production agentic workflows combining deterministic logic, LLMs, and ML models to discover vulnerabilities and conduct authorized security testing. Collaborate with security researchers, data scientists, and DevOps engineers, while creating evaluations and benchmarks to improve system effectiveness, reliability, precision, and performance.

Design and build scalable backend systems and production-grade AI solutions for cyber-physical security environments. Responsibilities include owning features from architecture through deployment, developing LLM applications, RAG systems, and AI agents, integrating AI-assisted engineering tools, and promoting resilient, clean software architecture across cloud and on-premise environments. The role requires strong Python backend development, distributed systems expertise, real-time data and networking experience, and hands-on AI application deployment.

Explore frontier AI techniques for security applications, including reasoning models, autonomous agents, reinforcement learning, fine-tuning, and retrieval-augmented generation. Design experiments, develop novel model-adaptation methods, build evaluation frameworks, validate AI solutions, and collaborate with engineering and product teams to transition successful research into products.

Build and own edge software infrastructure for maritime perception systems, including sensor integration, real-time data pipelines, hardware interfaces, distributed communication, synchronization, deployment, monitoring, and diagnostics. Optimize embedded Linux systems for performance and reliability across varied hardware configurations. Collaborate with algorithm and field teams during integration, sea trials, and real-world debugging.

Build and own secure remote-access backend features for critical infrastructure environments. Design scalable, high-availability gateway and proxy architectures, integrate IT and OT networks, implement Zero Trust and session monitoring capabilities, and collaborate with product managers and security researchers. Maintain strong standards for code quality, security, performance, and system resilience across distributed cloud-native and on-premise deployments.

Lead architecture and technical direction for complex security systems within Microsoft CISO Security Engineering. Translate security workflows into scalable engineering solutions, establish reusable architectural patterns, guide modernization, make cross-team technical decisions, mentor senior engineers, and remain hands-on with design, code reviews, prototypes, and critical implementations. The role requires deep experience in distributed systems, cloud architecture, data platforms, and security.

Reviews software requirements, designs and executes manual tests, configures mobile and server-side test environments, validates defect fixes, and documents issues. Collaborates with developers, QA teams, product managers, and automation engineers to ensure coverage, stability, regression validation, and alignment with QA practices across multiple projects.

Build and own production-grade AI features end-to-end, including agent orchestration, backend services, APIs, AI integrations, and frontend experiences. Use agentic coding tools, integrate LLMs with structured outputs and tool calling, develop retrieval capabilities, and connect reliable UI and backend workflows. Collaborate with technical and non-technical stakeholders while applying sound engineering judgment, testing, monitoring, and production standards.

Build and own the autonomy runtime for autonomous maritime vessels, including ROS2 architecture, C++ modules, lifecycle management, state handling, fault recovery, vehicle interfaces, deployment, CI, observability, simulation, and embedded performance. Integrate with vessel platforms, support bring-up and sea trials, debug field issues, and ensure reliable operation under real-time and degraded conditions.

Own and evolve StackYak’s backend control plane, including PostgreSQL data models, durable workflows, APIs, identity and authorization, infrastructure integrations, billing, and production reliability. Build programmatic access through management APIs, Terraform, CLI, and agent interfaces. Design systems for correctness, idempotency, tenancy, security, and partial failure while operating the platform in production and shaping its technical standards.

Design and build AI usage-control and enterprise security capabilities across SaaS, desktop applications, AI agents, and endpoints. Own highly available cloud-native microservices, develop OS-level enforcement components, create AI-powered security tools, and contribute across backend services and React-based consoles. Collaborate with DevOps, product, and security teams to deliver secure, scalable software frequently.

Founding engineer responsible for architecting and building core product components, writing scalable Python backend code, designing and maintaining AI/ML model infrastructure, establishing engineering best practices (testing, CI/CD, code reviews), collaborating on product roadmap, and mentoring future team members while shipping production systems for a generative AI/agentic platform.

Build browser infrastructure and web access systems for an agentic search engine operating at internet scale. Research browser communication, fingerprinting, client verification, networking, JavaScript execution, and modern web technologies. Develop browser instrumentation, debugging, observability, and experimentation tooling, then translate technical research into reliable production systems.

Design and develop scalable Java backend services for a merchant risk platform. Build microservices on AWS, solve performance and business-logic challenges, own features from design through production, review code and architecture, and collaborate with product, data, and engineering teams. Contribute to AI-first development practices, platform architecture, engineering improvements, and merchant-classification capabilities.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Build and maintain Ruby on Rails backend features for vulnerability management, including security dashboards, reports, and ingestion pipelines. Improve system performance, reliability, and scalability; collaborate across backend, frontend, product, design, and security teams; review code; address technical debt; and participate in on-call rotations. The role requires relational database experience, distributed-team collaboration, technical problem-solving, and contributions across the stack when needed.

Lead frontend infrastructure strategy and architecture, design scalable microfrontend solutions, maintain centralized React component library, improve developer workflows, implement CI/CD and automated testing, mentor teams, and contribute hands-on code to accelerate product teams.

Build and ship AI and agentic products end to end, including backend services, agent runtimes, LLM integrations, and React-based product experiences. Write maintainable code, contribute to technical planning, resolve customer issues, create automated tests, and mentor engineers. The role requires deep practical use of AI agents, including custom MCP servers, tools, skills, and automated workflows, with opportunities to work on distributed systems.

Develop and enhance the execution product for quantum computing by creating new functionalities, debugging complex systems, and collaborating with teams.

Founding engineer responsible for architecting and building core backend systems, writing scalable Python code, designing and maintaining AI/ML infrastructure, establishing engineering best practices (testing, CI/CD), collaborating on product roadmap, and mentoring future hires.

Own cloud features end to end, including architecture, backend services, React interfaces, database design, testing, CI/CD deployment, monitoring, troubleshooting, and production support. Use AI coding tools such as Claude Code, Cursor, and GitHub Copilot to accelerate development. Collaborate with Product and UX teams to deliver scalable, reliable customer experiences on public cloud platforms.