DevOps Engineer jobs in Herzliya

Description Mentee Robotics, now part of Mobileye, brings world-class robotics expertise, together with Mobileye's decades of leadership in computer vision, machine learning, and autonomous driving technologies. Building on that foundation, Mentee by Mobileye is creating the "MenteeBot", the AI-first humanoid robot that combines perception, reasoning, learning, and advanced dexterous manipulation, designed to work alongside people in their everyday lives, at the workplace and in the home. At Mobileye, our technologies power more than 230 million vehicles worldwide and have helped shape the future of autonomous mobility. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for real life. Why Mentee • Real ownership. You'll build the DevOps foundation from the ground up and set the practices the whole engineering team works by, not inherit and maintain someone else's playbook. • See your impact fast. We're small enough that the systems you build are used across the company within days, not quarters. • Innovation at the frontier. Work alongside researchers and engineers across ML, perception, control, and hardware, building infrastructure for complex challenges that require unique, first-principles engineering. • Build for scale that matters. Robotics workloads (training, simulation, HPC) push infrastructure in ways typical web companies never hit. The technical depth here is real. Responsibilities • Architect and build GitOps-based CI/CD pipelines from the ground up, from code integration through testing to deployment • Build and scale our cloud infrastructure as code with Terraform • Build observability and deployment systems that span cloud, simulation, and the robot fleet • Design systems for performance, scalability, and reliability as workloads grow • Build automation in Python and Bash to engineer away manual, repetitive work • Debug deep, novel infrastructure problems and design out their root causes for good • Establish the DevOps standards and practices the whole engineering team builds on Requirements • 4+ years of DevOps experience building and scaling complex, large-scale production infrastructure • Experience designing and building new infrastructure, not only operating what already exists • Strong scripting skills in Python and/or Bash • Deep working knowledge of Git and version control workflows • Hands-on experience building CI/CD pipelines with GitHub Actions • Strong Linux systems administration and hands-on debugging across systems, networks, and applications Advantages • Centralized logging and observability platforms (e.g. ELK, Datadog) • Familiarity with MLOps tooling and workflows • Experience with robotics or related fields • Working knowledge of Kubernetes and cloud-native tooling • Experience managing HPC clusters (e.g. Slurm)

Description Upstream delivers a cloud-based, AI-powered behavioral intelligence platform for physical AI and smart mobility. Upstream empowers customers with advanced AI-driven cybersecurity solutions, including detection and response (XDR), AI Security, quality and operational intelligence, cyber threat intel, SOC services, and more. Upstream is looking for an experienced, hands-on Senior DevOps Engineer and SRE Lead to join our operations team, leading the reliability, scalability, and performance of our production environments. As a Senior DevOps Engineer, you will take ownership of our production infrastructure, drive initiatives to improve system availability and operational efficiency, and lead the development and implementation of infrastructure tools and automation solutions at the edge. You will proactively identify and resolve complex operational challenges, optimize system performance, and work closely with cross-functional teams to ensure a stable, secure, and scalable production environment. This is a full-time, hybrid role based in Herzliya, Israel. Responsibilities • Implement and operate a high scale Kubernetes & Cloud solutions • Implement and operate cloud infrastructure in AWS / Azure / GCP • Monitor customer infrastructure and environments • Rollout processes for new services & applications in our infrastructure • Enforce and maintain Cloud and Product Security • Troubleshoot technical issues on the customer environment Requirements • 5+ years of SRE / DevOps Engineer experience • Experience working with Kubernetes, Gitops, Docker in Production systems is a must • Experience working with Linux systems - high level of scripting in Bash / Python • Experience with implementations in a SaaS/PaaS architectures • Understanding of microservices concepts • Experience with OpenShift operators • Experience working with helm • Experience with monitoring systems (Preferably Datadog) • Strong troubleshooting and problem solving capabilities • Experience working with MySQL and PostgreSQL • Motivated, service-oriented, fast learner, and independent • A team player, with excellent collaboration skills Upstream is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.

We are looking for an experienced DevOps Platform Engineer to join our Application Infrastructure team. In this role, you will design, build, and operate scalable platforms and infrastructure that enable engineering teams to develop, deploy, and run services efficiently, securely, and reliably. You will work in a complex, large-scale production environment using AWS, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies. What you’ll do: • Design, build, and maintain application infrastructure and platforms used by engineering teams. • Develop scalable, reliable, and secure infrastructure on AWS. • Build and improve CI/CD pipelines, deployment processes, and infrastructure automation. • Manage and operate Kubernetes-based production environments. • Develop self-service tools and platform capabilities that improve developer productivity and experience. • Improve system reliability, availability, performance, and scalability. • Define and implement best practices for infrastructure, deployments, observability, and security. • Lead troubleshooting, incident investigation, and root cause analysis for complex production issues. • Collaborate with R&D, Security, Architecture, Data, and Cloud teams. • Evaluate and implement AI-based tools for infrastructure automation, operational efficiency, incident analysis, and developer workflows. • Develop or integrate AI agents, LLM-based tools, and AIOps capabilities into platform engineering processes. What you have: • 3-5 years of hands-on experience in DevOps, Platform Engineering, or Infrastructure Engineering roles. • Strong hands-on experience working with AWS in production environments. • Proven experience with AWS services such as EKS, EC2, IAM, VPC, Route 53, S3, RDS, Lambda, CloudWatch, or similar services. • Strong experience with Kubernetes and containerized environments. • Hands-on experience with Infrastructure as Code tools, preferably Terraform. • Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Argo CD, or similar technologies. • Experience writing automation or production-grade code using Python, Go, Bash, or a similar language. • Strong understanding of Linux, networking, DNS, load balancing, and distributed systems. • Experience with monitoring, logging, tracing, and observability platforms. • Strong troubleshooting skills and the ability to investigate complex production issues. • Ability to work independently, take ownership, and drive projects from design through production. • Strong English communication skills and the ability to collaborate across multiple engineering teams. AI Experience you have: • Hands-on experience using AI and Generative AI tools as part of software development, infrastructure, or operational workflows. • Experience working with LLM APIs, AI coding assistants, or AI automation tools. • Ability to identify processes that can be improved through AI and translate them into practical engineering solutions. • Understanding of prompt engineering, responsible AI usage, and the secure handling of sensitive information. • Experience with CAG, AI agents, RAG, MCP, LLM integrations, or AIOps solutions is an advantage. Bonus points: • Experience working with data platforms, data infrastructure, or large-scale data processing systems. • Understanding of data pipelines, data ingestion, streaming systems, or distributed data architectures. • Experience operating large-scale, multi-region, or multi-account AWS environments. • Experience with GitOps tools such as Argo CD or Akuity. • Experience with service mesh, API gateways, or service discovery solutions. • Experience with Datadog, Prometheus, Grafana, OpenTelemetry, or similar observability tools. • Experience with cloud security, secrets management, and Vault As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

Description At Infinidat, a Lenovo company, we help enterprises and service providers empower their data-driven competitive advantage at scale. As our Senior DevSecOps Engineer, you will be the foundational security expert within the DevOps team. Following a recent corporate transition, our infrastructure is moving into a highly regulated environment subject to strict, ongoing security compliance frameworks and external audits. You will lead the charge in designing, securing, and continuously adapting our infrastructure to meet these evolving enterprise and regulatory standards. Your immediate priority will be securing the environments where protected data is stored across public cloud infrastructure, on-premise virtual environments, and containerized clusters. Beyond immediate compliance, you will architect our secure cloud posture from the ground up, embed automated security guards seamlessly into our deployment pipelines, and mentor the broader engineering team on modern security practices. Responsibilities • Compliance & Audit Leadership: Serve as the primary technical lead for rigorous security audits, ensuring continuous compliance, rapid adaptation to new security requirements, and production of audit-ready documentation. • Infrastructure Hardening & Governance: Own, scale, and maintain automated machine image hardening pipelines utilizing industry-standard security baselines (such as CIS benchmarks). Extend these frameworks to define and enforce strict security baselines across container clusters and image registries. • Secure Architecture & Networking: Architect secure hybrid environments handling sensitive data, focusing on robust network segmentation, zero-trust principles, and secure infrastructure-as-code deployment methodologies. • Application Security Integration: Manage and optimize the integration of automated security scanning tools (SAST, SCA, and DAST) into CI/CD pipelines. Ensure reliable capture, aggregation, and reporting of scan results to satisfy product governance and audit requirements. • Threat Detection & Observability: Implement and manage anomaly detection tools, automated access log review mechanisms, and comprehensive centralized auditing and logging solutions. • Security Incident Response: Serve as the primary technical escalation point for infrastructure security incidents, creating automated playbooks for rapid triage and mitigation. • Mentorship: Act as the security subject matter expert, identifying technical gaps and upskilling the DevOps and development teams in secure infrastructure concepts. Requirements • Proven experience as a Senior DevSecOps, Cloud Security, or Security Infrastructure Engineer. • Deep, hands-on expertise securing public cloud environments (AWS preferred) and container orchestration platforms (Kubernetes). • Strong background with Infrastructure as Code (IaC) and modern GitOps/declarative continuous delivery workflows. • Demonstrated experience navigating strict compliance frameworks, government regulations, or protected data environments (e.g., NIST, FedRAMP, CIS, or equivalent federal/enterprise frameworks). • Experience configuring enterprise-scale logging, continuous monitoring, and automated configuration compliance tools. • Exceptional communication skills, with the ability to translate complex security requirements into clear engineering tasks. About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025, but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Description At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. Infinidat RnD department is looking for an eager and bright individual to join us and own our DevOps and Build Automation solutions. Responsibilities • You will assume full end-to-end ownership and responsibility for designing, improving and maintaining the company’s RnD delivery flow processes and infrastructure. • Taking ownership of one of the most critical flows in the RnD department - developing & releasing Infinidat’s software product. • Establish and evolve concepts in CI/CD pipelines for existing and new services. • Work closely with development teams to improve the efficiency and stability of the build automation solution (distributed build, object caching, etc.) • Work closely with various infrastructure teams in the company to improve automation of workflows • Monitor and analyze performance and stability issues. Environment and tools • Linux, Python, GitLab CI, Jenkins, Coverity, VMware, Ansible, Docker/Podman, CMake. • 99% On-Prem. Requirements • 7+ years of experience working with production-environment. • Extensive experience building and sustaining a fully automated CI/CD solution. • Experience with CI systems with GitLab and Jenkins. • High proficiency with git workflows. • Proven experience in Linux system engineering (configuring, troubleshooting and deployment). • Extensive experience in coding with Python, Bash, or similar scripting languages. • Strong understanding of system-level topics and IT infrastructure, including operating systems, storage, networking and firewalls. • Experience with virtualization and containerized systems (VMware, Docker/Podman) • Excellent organizational, analytical abilities and problem solving skills • Demonstrates high initiative and a proactive approach, with the ability to independently define and drive solutions in the DevOps field. Nice to Have: • Familiarity with version control systems. • Experience with C/C++ build systems. • Proficiency in reviewing and optimizing C/C++ code as part of build system optimization. About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025, but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Description CodeValue, founded in 2010, is a dynamic software development services company that delivers supreme architectural and technical expertise. Our mission is to provide in-depth consultancy, integrate product and design research into our development process, offer managed software and cloud solutions, and provide customized training programs to bridge knowledge gaps. We are empowering our employees with a comprehensive range of professional courses and training programs. From Cloud Computing (Azure, AWS) to Modern Full stack Web Development, Microservices, Software Architecture, and DevOps, CodeValue is looking for a highly experienced, hands-on Senior DevOps / CI/CD Tech Lead to help establish, standardize, and improve CI/CD, testing, and release infrastructure across multiple software development teams at a leading semiconductor and AI technology company. The role focuses on solving complex integration challenges across a multi-component software stack, improving automation and regression testing infrastructure, and creating consistent build, packaging, and release processes across teams and environments. This is a hands-on technical leadership position for someone who can define the technical direction while implementing solutions independently and delivering measurable value quickly. Key Responsibilities: • Design, build, and improve CI/CD pipelines and automation infrastructure using Jenkins. • Establish and enhance automated Unit Testing and Regression Testing infrastructure. • Standardize build, packaging, wrapper, and release management processes across multiple development teams. • Consolidate and align Jenkins environments, pipelines, and configurations across teams. • Standardize Docker images and development and testing environments. • Improve integration workflows across complex software components, including compilers, embedded runtimes, and related software stacks. • Work directly with developers and technical stakeholders to identify bottlenecks and implement practical improvements. • Lead technical initiatives hands-on, from identifying the problem to implementing and deploying the solution. Key Responsibilities: • Design, build, and maintain robust CI/CD pipelines using Jenkins and GitHub Actions. • Develop and support tooling and automation for air-gapped environments. • Collaborate closely with R&D and QA teams to optimize the software development and release lifecycle. • Research, evaluate, and integrate new tools, technologies, and methodologies to enhance development and deployment efficiency. Requirements • Extensive hands-on experience in DevOps, CI/CD infrastructure, and build automation. • Proven experience designing, implementing, and maintaining Jenkins pipelines in complex development environments. • Strong experience with Docker and environment standardization. • Proven experience establishing automated testing infrastructure, including Unit Testing and Regression Testing. • Experience with build systems, packaging, and software release management. • Ability to lead technical initiatives while remaining deeply involved in implementation and troubleshooting. • Experience working across multiple development teams and standardizing shared infrastructure and processes. • Ability to work independently, prioritize effectively, and deliver results quickly. Advantages: • Experience in Embedded Software environments. • Experience with compilers, DSP, processor architectures, or semiconductor development. • Experience integrating complex software stacks with multiple dependencies and frequently changing components. • Experience with on-premises build and testing infrastructure.