Top Software Engineer Jobs in Israel

Build and operate customer-facing AI agents and intelligent experiences for Support and Customer Success. Own solutions end to end, including customer discovery, product decisions, full-stack development, LLM integrations, agent orchestration, tool layers, observability, evaluation, deployment, and iteration. Develop reliable production services, APIs, integrations, and user interfaces while measuring customer impact and collaborating closely with CS, Support, and customers.

Develops Python and Go integrations for network and security devices using Tufin’s Open Model platform. Responsibilities include mapping device configurations, automating policy and provisioning changes, building shared services, optimizing performance, testing releases, supporting customer deployments, and collaborating on product capabilities. The role requires strong networking knowledge, REST API and SSH/CLI integration experience, network automation skills, and familiarity with AI coding tools and agents.

Designs and ships AI-powered communication and notification features while architecting high-throughput, event-driven systems. The role spans backend and frontend development, distributed systems, observability, performance, reliability, API design, and AI model integration. The engineer collaborates with product and design teams to deliver customer-facing experiences and helps shape technical direction across monday.com’s People & Interactions platform.

Build enterprise-scale security tooling, automation, platform services, AI-powered security workflows, and product security features. Contribute code to product engineering teams, collaborate with AI security researchers, and help establish engineering practices for a new Security R&D team. The role requires software development across Python and Java, AI/ML and LLM integration, distributed systems, cloud-native architectures, and security engineering.

Develop and optimize APIs, tools, and libraries for Ethernet switching, routing, analytics, and telemetry within NVIDIA’s Ethernet Switch SDK. Collaborate with architects, QA teams, customers, and global engineering teams to create prototypes and production solutions. The role requires efficient C programming, algorithm and data-structure expertise, performance tuning, and strong communication skills. Experience with Ethernet switching or routing protocols and Linux development is advantageous.

Design, develop, and operate scalable backend systems for core accounts, apps, users, and onboarding domains. Build distributed systems and data flows, decouple legacy stores, adopt GraphQL Federation, and contribute to architecture and code reviews. Own features from design through production, troubleshoot issues, support high availability and security, collaborate across teams, and participate in on-call rotations.

Build and own backend features for a distributed, event-driven ground control system supporting drone delivery. Responsibilities include mission state machines, route planning, airspace deconfliction, fleet operations tooling, testing, production troubleshooting, and safe rollouts. The role requires strong computer science fundamentals, especially concurrency, state management, and failure handling, plus ownership and comfort with ambiguity. Robotics, aviation, simulation, or physical systems experience is a bonus.

Develop and verify firmware and software features for NVIDIA Switch and NVLink networking products. Responsibilities include designing verification processes, implementing core features, planning team activities, collaborating with architecture and software teams, and debugging pre- and post-silicon systems. The role requires C++ and Python development, embedded software experience, and understanding of hardware, firmware, software, networking stacks, and system behavior.

Develop and maintain CI validation workflows, automated unit, regression, and integration tests for real-time object-sensing algorithms. Integrate code into centralized branches, manage repositories and versions, coordinate issue resolution, debug performance-sensitive C++ and Python code, and support seamless development workflows in a Linux environment.

Own and evolve monday.com’s AI foundations platform, including generative AI products, agent frameworks, MCP tooling, identity and governance, secure data access, and production systems. Design scalable APIs, SDKs, and cloud-native infrastructure; implement authentication, authorization, observability, and agent security; take ambiguous initiatives from concept through production; and mentor engineers while setting technical direction.

Develop and maintain high-scale, data-intensive infrastructure for network traffic analysis and association within the Armis platform. Design modules, algorithms, and extensions; investigate customer data to develop effective solutions; resolve complex customer and scalability issues; and support production enterprise systems involving networking, system architecture, performance, and high-scale operations.

Build and scale backend data export services, data pipelines, and AI Assistant capabilities. Develop agent orchestration, MCP tool integrations, secure customer-data workflows, APIs, and large-scale data services. Own features from design through production, process massive data volumes, integrate cloud data stores and vendors, and collaborate with product and engineering teams.

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.

Develop and maintain native iOS and Android SDKs and integrations across Flutter, React Native, MAUI, and CMP. Optimize performance across operating systems and devices, build automated tests and release pipelines, review AI-generated code, troubleshoot customer issues, and collaborate with product and engineering teams to deliver reliable mobile experiences.

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.

Develop and maintain a cyber product from concept through production. Responsibilities include architecture and design, full-stack implementation, code reviews, documentation, scalable coding, end-to-end ownership, and collaboration within an Agile R&D environment.

Design, develop, test, debug, and productionize data-plane features for large-scale distributed networking systems using C/C++. Investigate complex multi-component issues, collaborate with engineering, QA, and product teams, and integrate AI tools into daily development workflows. The role involves working with ASIC architectures and chip SDKs to implement networking features such as forwarding, quality of service, security, and telemetry.

Build production-grade services, APIs, infrastructure, and data pipelines supporting cybersecurity research. Translate security research prototypes into scalable customer-facing capabilities for attack surface management, offensive security, cloud security analysis, and autonomous security workflows. Collaborate with security researchers, product, platform, and DevOps teams while improving system reliability, performance, and maintainability.

Develop and operate large-scale distributed systems supporting Taboola’s real-time recommendation platform. Responsibilities include designing, developing, deploying, monitoring, and maintaining services; improving observability, logging, and performance; building infrastructure and framework code; and collaborating across engineering teams. The role involves working with high-volume data and production technologies including Java, Kafka, Spark, Cassandra, Kubernetes, and Linux.

Build and operate production-grade multi-agent AI systems for network and AI infrastructure automation. Responsibilities include developing backend services and APIs, deploying systems on Kubernetes, implementing RAG and retrieval pipelines, integrating LLMs and tools, and building tracing, evaluation, guardrails, observability, and safety capabilities. The role requires strong distributed systems, debugging, database, and production operations expertise.

Build AI-native products and full-stack features from concept through deployment and monitoring. Lead architectural decisions, collaborate with product and design, and improve engineering reliability, performance, and scalability. Develop user experiences with React, Next.js, Node.js, and TypeScript while integrating LLM technologies. Establish AI development best practices, testing strategies, and evaluation methods for model behavior. Preferred experience includes vector embeddings, RAG architectures, rapid prototyping, and startup environments.

Design and develop scalable systems, workflow tools, data pipelines, monitoring solutions, and operational platforms. Collaborate with analysts, product stakeholders, and infrastructure teams to define requirements and deliver production systems. Transform manual processes into maintainable solutions, troubleshoot pipeline and infrastructure issues, and own projects from system design through deployment and continuous improvement, primarily using Python.

Design and develop scalable systems and tools for data operations, workflow management, pipeline monitoring, reporting, and operational processes. Collaborate with analysts, product stakeholders, and infrastructure teams to define requirements and deliver production systems. Transform manual workflows into maintainable solutions, troubleshoot data and infrastructure issues, and own projects from design through deployment. Development is primarily in Python, with opportunities to use containerized environments and CI/CD pipelines.

Build responsive frontend interfaces, workflow builders, dashboards, and visualization tools for AI-powered enterprise automation. Develop backend APIs using REST and GraphQL, integrate enterprise systems, support real-time events and notifications, and collaborate with AI/ML, product, design, and customer teams. As a founding engineer, contribute to architecture, code reviews, feature planning, and engineering best practices.

Design, build, and operate high-volume telemetry data pipelines and backend services using Kafka, ClickHouse, Kubernetes, and DevOps practices. Own distributed systems, data modeling, APIs, observability, production incidents, and on-call support. Contribute to analytics interfaces and client SDKs, lead complex cross-team features, improve testing and automation, and mentor engineers. Integrate AI capabilities safely, including LLM APIs, RAG pipelines, agent interfaces, and production safeguards.