Top Software Engineer Jobs in Israel

Build production AI systems that transform meetings into context, embeddings, retrieval, actions, and agentic execution. Develop multimodal experiences using LLMs, audio, video, and real-time AI. Own projects from research and architecture through production, customer feedback, and iteration. Improve agentic software development workflows through better context, tools, guardrails, and evaluations while delivering scalable full-stack applications.

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 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 core front-end features for an AI-powered travel platform using React, JavaScript, and TypeScript. Lead technical direction, build intuitive and performant user experiences, collaborate with product and design teams, champion accessibility and code quality, and mentor engineers. The role also involves project ownership, comprehensive testing, monitoring, and potential contributions to Node.js backend services.

Builds production security tooling, automation, platform services, AI-powered security workflows, and product security capabilities at enterprise scale. The role contributes code to product engineering teams, collaborates with AI Security Research, develops security integrations, participates in architecture and code reviews, and helps establish engineering practices for a new Security R&D team. It requires strong Python and Java development, distributed systems expertise, cloud-native experience, and exposure to AI/ML and security engineering.

Develop real-time GNSS and SDR signal-processing software for embedded GPU platforms. Responsibilities include writing high-performance C++ and Rust code, tuning CUDA GPU kernels, translating research algorithms into production systems, and improving build systems, testing, CI, and tooling. The engineer will collaborate with hardware, research, and product teams and take ownership of system components early.

The role involves developing device drivers, integrating software with hardware, and optimizing device control logic, collaborating with various technical teams.

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.

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.

Build and maintain large-scale data infrastructure and pipelines supporting computer vision and object detection algorithms. The role involves designing systems for diverse data sources, ensuring data quality and accessibility, evaluating technologies, and owning infrastructure features end to end. Candidates need strong production Python skills, knowledge of data structures and ETL workflows, database experience, and the ability to work independently with algorithm developers and researchers.

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.

Develop network device monitoring and visualization capabilities within Cisco’s SDK environment. Lead creation of a self-monitoring system, design network state models, build frameworks, and define technical requirements and system architecture. Collaborate across teams and with senior technical leaders to deliver high-performance software for networking hardware, potentially handling billions of packets.

Design, develop, test, deploy, and maintain full-stack web applications using Node.js, React, TypeScript, JavaScript, and Python. Lead server-side microservices and micro frontend architecture, make technical decisions, integrate AI and LLM capabilities, and establish engineering standards. Collaborate with cross-functional teams, mentor engineers, and improve development workflows through AI-assisted tools, CI/CD, testing, and code reviews.

Design, implement, and maintain the cluster-manager for large-scale block storage. Develop lifecycle and RAID management features, debug production C/C++ code, coordinate QA testing, analyze customer issues, and collaborate with networking, hardware, and external teams to deliver high-performance, highly scalable storage services.

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.

Develop and optimize high-performance software for AI datacenter networking: implement NOS features, integrate smart NICs, build telemetry, design AI-optimized load balancing, debug datapath bottlenecks, and collaborate with QA on testing and validation.

The Platform team is responsible for backend services including APIs for payments, analytics, and text-to-speech, focusing on scalability and performance.

Own and scale identity entity enrichment and ingestion systems processing millions of identities. Build Go microservices, Kafka-based event pipelines, and integrations with Active Directory, Azure, AWS, and third-party identity sources. Improve distributed data consistency, performance, risk scoring, and computation workflows while migrating legacy services. Mentor engineers and collaborate with cross-functional teams to deliver reliable production systems.

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.

Develops robust, scalable production deployment systems and inference pipelines for classical and machine learning algorithms. The role bridges machine learning research and production engineering, primarily using Python, Docker, Kubernetes, model serving frameworks, and inference optimization techniques. Responsibilities include maintaining existing deployment systems, building new production capabilities, and adopting emerging MLOps technologies for computer vision and NLP workloads.

Develop production deployment systems for classical and machine learning algorithms, building robust, scalable inference pipelines. Work primarily with Python, Kubernetes, and Docker while maintaining existing systems and implementing new MLOps, model-serving, and inference-optimization technologies. Collaborate with machine learning research and engineering teams, staying current with computer vision, NLP, distributed systems, and emerging deployment best practices.

Design and implement software to optimize deep learning models (quantization, pruning, compression) for efficient inference on low-power automotive hardware. Develop in Python and PyTorch, collaborate with algorithm teams, run literature research and POCs, and support full software lifecycle including testing and CI/CD.

Design, build, and maintain high-performance web and mobile SDKs integrated into customer applications. Develop secure, reusable features, optimize performance and resource usage, ensure browser compatibility, conduct code reviews and testing, and create technical documentation. Collaborate with engineers, product managers, data teams, and solution teams to deliver maintainable SDK integrations.

The role involves designing, developing, and maintaining backend APIs, optimizing performance, and collaborating on B2B solutions. Responsibilities include overseeing backend architecture and aligning with product strategy.

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.