Top Software Engineer Jobs in Israel

Build and scale cloud infrastructure, data pipelines, and production platforms to run autonomous AI agents. Own container orchestration, CI/CD, APIs, security (OAuth2/JWT), observability, and compliance (GDPR/HIPAA). Collaborate with AI/ML and product teams to ensure reliable, secure, and cost-efficient production systems.

Design, develop, and optimize core components of an AI-driven software stack. Implement API layers, command pipelines, and memory management; collaborate with hardware and kernel teams; debug across user-to-hardware layers; and optimize for performance and throughput.

Design, develop, and deploy AI agents for automating enterprise workflows, integrating APIs, managing data pipelines, ensuring security, and optimizing performance.

Design and maintain backend services, develop microservices architectures, and collaborate with security teams to build scalable solutions.

Design and maintain AI capabilities, develop internal server, implement AI safety frameworks, optimize systems, and promote AI readiness across teams.

Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.

Develop and maintain high-performance C/C++ software for a Database Activity Monitoring platform. Work on low-level Linux, networking, and database integrations, debug production issues, own features across the SDLC, and collaborate with engineers, product, and security researchers.

The Backend Engineer will lead AI integration, mentorship, and support in a large R&D environment, focusing on AI tools adoption and SDLC enhancement.

The AI Software Engineer will optimize computer vision pipelines for edge systems, ensuring performance and reliability while processing real-time maritime video streams.

The software engineer is responsible for developing software components, engaging in design discussions, and improving team efficiency in an agile environment.

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.

The Senior Backend Software Engineer will develop core system logic using Web3 data, enhancing risk insights while collaborating with a dynamic team in a startup environment.

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

Design and implement cloud-native, real-time identity threat detection systems processing billions of authentication events. Build streaming detection pipelines, a pluggable rule engine, ML and LLM-based anomaly models, and ensure observability, latency SLOs, safe rollouts, and incident response. Collaborate with security researchers and cross-functional teams to translate research into production detections.

As a Senior Software Engineer on the static analysis team, you'll design and implement core components for an automated reverse-engineering engine, working on complex code analysis problems and delivering technical projects from research to production.

Build and own large-scale identity entity pipelines: ingest from AD/cloud, enrich and score identities, publish to centralized asset graph, migrate performance-critical services to Go, optimize throughput and latency, and mentor engineers.

Develop and integrate real-time mission control logic for autonomous UAS: implement guidance algorithms, integrate with Pixhawk and NVIDIA Jetson, optimize MAVLink communications, maintain control loops, and validate in field trials and simulation.

Build and maintain internal backend components, microservices, and automation tools to improve CI/CD, developer workflows, and system reliability. Design Docker/Kubernetes pipelines, integrate with CI/CD and DevOps vendors, support deployment automation and scaling, and collaborate with QA and R&D on testing and observability.

The role involves designing and implementing smart energy management solutions, collaborating with engineers, and developing high-quality code in an embedded environment.

Lead the technical strategy and roadmap for NVIDIA BlueField ARM platform boot integration, spanning early firmware through Linux login. Drive architecture, cross-layer issue resolution, reliability, security, performance, recovery, qualification, and release decisions. Define integration operating models, influence product direction, and introduce tools and engineering practices that improve quality and debugging efficiency. Collaborate across firmware, kernel, architecture, product, and partner teams.

Design, automate, and execute software, systems, networking, regression, performance, functional, and security tests in Linux environments. Improve QA coverage, build test topologies, develop testing tools and processes, analyze bugs, and collaborate with hardware, software, and project management teams. Report testing progress and provide feedback on product requirements and technical designs.

Build and own end-to-end features for the Voyantis UA Platform, including backend services, APIs, databases, LLM agents, data pipelines, UI, monitoring and dashboards. Ensure performance, correctness, reliability and scalability while contributing to architecture, experimentation and operational excellence.

Design, develop, and operate JFrog’s high-availability SaaS Management Platform across multi-cluster and multi-region environments. Build cloud-native solutions using Kubernetes and major cloud providers, create self-service developer tooling, integrate cloud and Kubernetes services, and collaborate with Product Management, R&D, DevOps, and SRE on secure, scalable platform capabilities. The role also involves backend AI/LLM integrations and technologies including Kafka, MongoDB, Helm, Istio, ArgoCD, and Prometheus.

Design, build, and maintain backend security services for a large-scale API scanning platform; drive system architecture, technical design, and code reviews; implement security products to detect API vulnerabilities and support shift-left security practices.

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.