Top Software Engineer Jobs in Jerusalem

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 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.

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.

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.

Design, implement, integrate, test, and deliver end-to-end security features spanning firmware, OS, endpoint software, and cloud services. Collaborate with hardware, firmware, OS, cloud, and security teams; define requirements and architecture; apply secure engineering practices (threat modeling, secure design, vulnerability response); drive features from inception to production; leverage AI to accelerate engineering workflows; mentor peers and continuously learn emerging security technologies.

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.

Develop and operate full-stack cybersecurity solutions across Microsoft Security teams. Responsibilities include building backend cloud or on-premises services, developing scalable front-end applications, improving service lifecycles, analyzing complex systems, streamlining deployments, and collaborating across engineering, security, data science, and program teams. The role also involves using AI-assisted tools and integrating AI capabilities into resilient, large-scale 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 browser infrastructure and tooling to provide reliable, large-scale web access for an agent-native search platform. Research website-browser interactions, fingerprinting, client verification, and browser networking. Implement instrumentation, observability, debugging tools, and translate findings into production systems at internet scale.

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.

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.

Develop and maintain cloud networking products, including Akamai’s Cloud Load Balancer. Design scalable architectures, write and test high-quality code, review technical specifications, plan projects and backlogs, and mentor engineers. The role requires strong Python skills, the ability to learn C++, and knowledge of networking fundamentals and Linux systems.

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.

Develop Salesforce solutions using Apex, LWC, Visualforce, and complex Flows; configure and implement customer requirements; manage deployments, performance testing, and validation; create Python scripts and automation tools; build AI-powered agents and internal tooling; and collaborate with R&D, Product, and Professional Services teams during customer onboarding and implementation.

Design and develop scalable Python backend services, distributed systems, microservices, event-driven architectures, APIs, and AI-powered workflows. Integrate LLMs using AWS Bedrock, optimize databases and caching, contribute to cloud infrastructure, CI/CD, and observability, and provide technical leadership through architecture, mentoring, and hands-on development.

Build and ship runtime instrumentation and observability components that operate inside production applications. Investigate runtime internals such as garbage collection, JITs, event loops, tracing hooks, and bytecode; optimize CPU and memory overhead; and ensure safe, backward-compatible operation. Debug distributed-system issues, design resilient fail-open systems, and work with product teams on technical trade-offs. The role also involves mentoring, technical leadership, and potentially developing security agents, APM tooling, telemetry systems, eBPF integrations, and low-overhead tracing.

The role involves building web acquisition systems for AI, focusing on browser automation, handling dynamic web conditions, and collaborating with diverse teams to improve real-time data retrieval.

The Software Engineer will design and build distributed systems, optimize data pipelines, improve system performance, and contribute to architectural decisions.

Lead design and delivery of high-availability cryptographic infrastructure (MPC, KMS, HSM) to protect customer assets and ensure regulatory compliance. Define multi-quarter technical strategy, implement secure cryptographic protocols in a zero-trust environment, mentor senior engineers, drive engineering quality, and align cross-functional partners for flawless execution.