Top Software Engineer Jobs in Israel

Build globally distributed identity threat detection systems for hybrid and multi-cloud environments. Design Kafka-based real-time detection pipelines, pluggable rule engines, machine-learning and LLM-driven detection capabilities, and customer-facing alerts. Own production observability, latency SLOs, rollouts, and incident response while collaborating with security researchers. Work across Python, Go, and Java services using distributed databases, caches, and cloud technologies.

Build backend services and customer-facing platforms for real-time AI voice agents. Responsibilities include designing low-latency audio pipelines, agent orchestration, telephony and third-party integrations, productionizing AI research prototypes, and owning architecture, code quality, observability, reliability, and performance.

Build AI-native products and features from concept through deployment and monitoring. Develop full-stack applications, make architectural decisions, partner with product and design, and improve reliability, scalability, performance, and engineering standards across new ventures. Integrate LLMs and modern AI technologies while rapidly iterating based on user feedback.

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.

Build the Agentic SDLC using autonomous AI agents to automate and improve software delivery from ideation through production monitoring. Develop scalable full-stack applications, architecture, developer experience workflows, and release-cycle automation. Collaborate across R&D while owning high-impact projects end to end. The role uses Node.js, Golang, TypeScript, React, AWS, Kubernetes, Redis, MySQL, and Elasticsearch, with DevOps and CI/CD experience preferred.

Forward Deployed Software Engineers work with clients to analyze problems, design solutions, and implement data-driven projects with autonomy and minimal supervision.

Design, implement, and operate fault-tolerant distributed systems and foundational platforms at internet scale. Build horizontally scalable, multi-tenant services that ingest, store, analyze, and query billions of events per second. Develop backend systems using Go, Java, Rust, or C++, alongside Kafka, Redis, Cassandra, Elasticsearch, and other open-source technologies. Own production services, optimize durability, availability, latency, performance, and operability, and use AI coding tools effectively.

Build and shape render.ai, an AI-native product, from user needs through production. Develop end-to-end experiences across the stack using React/Next.js, Node.js, and TypeScript, while managing cloud infrastructure, CI/CD, and production systems. Collaborate closely with product and engineering teammates, exercise strong UX judgment, use AI-assisted development effectively, and create clarity in an early-stage startup environment.

Own and evolve GitLab’s authorization systems across its Ruby on Rails monolith and next-generation Rust policy engine. Design fine-grained permissions for users, tokens, roles, and AI agents; secure GraphQL and REST APIs; lead feature-flagged rollouts and migrations; improve performance and reliability; and collaborate across authentication, platform, AI, and modular-service teams in a distributed asynchronous environment.

Leads development of AI optimization software across Microsoft AI hardware platforms. Designs and implements AI kernels, optimization algorithms, compilation techniques, and runtime improvements to increase performance, scalability, and efficiency. Architects complex solutions, writes and reviews C++ and Python code, drives testing and automation, collaborates across model, systems, compiler, and hardware teams, and mentors engineers while ensuring security, reliability, and maintainability.

Leads development and optimization of AI software frameworks across Microsoft accelerator hardware. Designs AI kernels, optimization algorithms, compilation techniques, runtime and serving improvements, and distributed execution solutions. Provides architectural and technical leadership, mentors engineers, drives testing, automation, deployment, reliability, telemetry, incident response, and cross-team delivery. Requires strong C++ and Python coding experience, advanced AI optimization expertise, and deep knowledge of performance, scalability, security, and production operations.

Build and own secure remote access features for cyber-physical systems. Design scalable, high-availability gateway and proxy architectures, integrate IT and OT networks, implement Zero Trust and session monitoring capabilities, and maintain secure, resilient production code. Collaborate with product managers and security researchers while contributing across feature design, architecture, development, and deployment.

Lead frontend architecture and end-to-end delivery of customer-facing Azure Marketplace features. Design scalable component and state-management systems, improve performance and reliability, diagnose production issues, apply AI tooling, establish testing practices, collaborate cross-functionally, and mentor engineers.

Develop, maintain, and support tools, flows, and methodologies for post-silicon power, thermal, and performance analysis. Collaborate on design and implementation, ensure software reliability via testing and CI/CD, and improve existing processes and tooling.

Develop diagnostic tools and frameworks in Python for NVIDIA networking platforms. Support performance optimization, real-time monitoring, hardware and software diagnostics, and high-throughput systems. Collaborate with hardware, firmware, and driver teams to resolve technical challenges, while gaining experience across the software development lifecycle, including specification analysis, deployment, and validation.

Build and ship end-to-end product features using Python and TypeScript, including backend services, APIs, integrations, data pipelines, and user interfaces. Own projects from design through implementation, testing, deployment, and monitoring. Collaborate with product, design, and users while contributing to architecture and handling large-scale, complex data. The role requires strong software engineering fundamentals, cloud experience, autonomy, and effective communication.

Design, develop, and debug scalable software for semiconductor defect-detection products. Make technical decisions supporting application performance and scalability, create complex software architectures, develop in Java on Linux using Docker and Kubernetes, and collaborate with multidisciplinary teams to launch innovative products.

Design, develop, and maintain automated tests for networking switches and adapters. Collaborate with HW, ASIC, and SW teams to define, verify, and validate tests across development and production. Debug, fix bugs, support production deployments and maintenance, and optimize testing procedures while driving projects to completion under schedule pressure.

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.

Design and maintain automation test suites for NVIDIA’s SONiC Ethernet Switch Network OS. Collaborate with software development and architecture teams, integrate testing with continuous integration and regression systems, automate builds and test execution, generate reports, isolate and classify failures, and identify regressions. The role also applies Python programming, Linux knowledge, software testing methodologies, and networking concepts including Ethernet, VLANs, TCP/IP, QoS, and Layer 2–3 protocols.

Develop and optimize tomographic image reconstruction software in C++ for medical imaging scanners. Responsibilities include algorithm implementation in parallel CPU/GPU environments, software architecture, subsystem interfaces, performance optimization, documentation, unit testing, verification and validation support, technical investigations, code reviews, and configuration management.

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.

The Software Engineer will handle data collection for AI, extending the ingestion cloud infrastructure on GCP, integrating data processing workflows, and collaborating on dataset roadmaps.

Design, build, scale, and own backend features for Sedric’s Core data pipeline. Develop production systems handling high data volumes, participate in code reviews, collaborate across teams, resolve urgent issues, and influence cloud architecture and data-system decisions. The role includes full feature lifecycle ownership, mentoring, production incident leadership, and participation in interviews.

Design, develop, debug, test, and maintain complex software for real-time angiographic image processing and visualization in interventional cardiology. Work across high-performance multithreaded, GPU-accelerated, and clinical visualization systems while collaborating with algorithm, testing, biomedical, product, and engineering teams. Responsibilities include determining system requirements, implementing improvements, monitoring performance, establishing software engineering standards, and supporting multiple software lifecycle activities.