DevOps Engineer jobs in Israel

Description CodeValue is looking for an experienced DevOps Engineer to join our team and work on challenging infrastructure and cloud projects. The ideal candidate has hands-on experience with cloud platforms, Kubernetes or OpenShift, and building and maintaining DevOps infrastructure. This role requires strong scripting skills, a proactive approach to troubleshooting, and the ability to collaborate with Development, Networking, and Information Security teams. Key Responsibilities • Build, configure, deploy, and maintain cloud-based DevOps infrastructure. • Deploy, manage, and maintain Kubernetes or OpenShift clusters and containerized environments. • Develop Python and Bash scripts to automate infrastructure operations and routine processes. • Support infrastructure stability, availability, performance, and ongoing maintenance. • Collaborate with Development, Networking, and Information Security teams to deliver reliable and secure infrastructure solutions. • Troubleshoot complex infrastructure and deployment issues and drive them to resolution. • Contribute to infrastructure automation and CI/CD processes. Requirements • 4+ years of hands-on experience as a DevOps Engineer – mandatory. • Hands-on experience with public cloud platforms, including AWS and/or GCP – mandatory, including infrastructure planning, deployment, and operations. • Strong experience with Docker and containerization – mandatory, including container management and runtime environments. • In-depth knowledge of Kubernetes (K8s), OpenShift (OCP), and/or RKE – mandatory, including deployment and cluster management. • Proven experience designing, developing, and maintaining end-to-end CI/CD pipelines, using Jenkins, Azure DevOps, GitHub Actions, and/or GitLab CI – mandatory. • Hands-on experience with Git and version control – mandatory. • Strong scripting skills in at least one of the following: Python, Bash, PowerShell (PS1), Batch, or Groovy – mandatory. • Experience working with Linux and Windows environments – mandatory. • Experience with Infrastructure as Code (IaC) tools, such as Terraform, CloudFormation, and/or Ansible – mandatory for Terraform and/or CloudFormation; Ansible is an advantage. • Experience with Helm for Kubernetes package management – an advantage. • Experience with JFrog Artifactory and/or Xray for artifact management and security – a significant advantage. • Familiarity with DevSecOps principles, secure development practices, and pipeline security – an advantage. • Good understanding of GitOps methodologies – an advantage. • Good understanding of networking concepts – an advantage. • Experience working in air-gapped or disconnected environments – an advantage. • Previous software development experience – an advantage. • Current professional AWS and/or GCP certifications – a significant advantage. • Experience leading a DevOps team – a significant advantage. • Ability to collaborate effectively with development and infrastructure teams, provide technical support, and troubleshoot complex issues with an emphasis on automation. • Location: Jerusalem / North Israel

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.

Description About Cellebrite:  Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite. What is your mission? As a Senior DevOps Engineer, you'll take charge of automating how we deploy infrastructure and applications with a strong focus on the infrastructure powering our AI/ML systems. You'll also lead efforts to make our processes better, helping engineering and product teams work faster and smarter, without compromising service quality. You bring an AI-first mindset to your own daily work using AI tools to move faster, automate more, and continuously raise the bar on how the team operates. Your work supports Cellebrite's mission to protect lives, accelerate justice, and ensure data privacy. Responsibilities: • Design, develop, and maintain automation processes to deploy large-scale, enterprise-grade applications, including AI/ML workloads and pipelines. • Serve as the go-to expert for CI/CD processes supporting Cellebrite's cloud and AI products. • Architect, deploy, and operate infrastructure for AI systems, including Amazon Bedrock, model endpoints and inference pipelines, following AI infrastructure best practices. • Actively use AI tools and agents (e.g., coding assistants, AI-driven automation, LLM-based troubleshooting) in day-to-day DevOps work to increase velocity, reduce toil, and improve quality and champion this way of working across the team. • Stay current with the fast-moving global AI landscape (new models, frameworks, cloud AI services, industry best practices) and bring relevant advances back into the team's tooling and processes. • Partner with R&D, Product Management, and Architecture to deliver key operational metrics and feedback that support high product availability. • Investigate reported and suspected outages and other issues, including those affecting AI/ML services. • Oversee documentation of issues and resolutions; maintain a knowledge base of known issues. • Produce, oversee production of, and maintain documentation such as architecture diagrams, system designs, and runbooks. • Work alongside fellow SREs, DevOps Engineers, and developers to solve problems and investigate anomalies. • Participate in an on-call rotation to help maintain our 99.95% uptime SLO. Requirements • 7+ years of experience working with AWS, with a proven track record of building complex infrastructure. • 2+ years of hands-on experience working with AI/ML systems in production, applying best practices for reliability, cost, security, and scalability of AI infrastructure. • Strong, hands-on experience with Amazon Bedrock and the broader AWS AI/ML stack (e.g., SageMaker, vector databases). • Demonstrated habit of using AI tools in daily engineering work (e.g., AI coding assistants, agentic workflows, LLM-powered automation) not just knowledge of AI infrastructure, but active personal use to work smarter and faster. • A continuous-learning mindset toward AI genuinely curious about the field, keeps skills current as technology evolves, and enjoys exploring new AI capabilities and applying them practically. • Working knowledge of Google Cloud Platform (GCP), with the ability to operate and troubleshoot across a multi-cloud environment. • Strong experience with networking, containerization (Kubernetes), and Linux system administration. • Deep understanding of Infrastructure as Code (Terraform, CloudFormation, etc.). • Strong experience with Kubernetes, preferably with AWS EKS. • Experience scaling and maintaining high-availability production systems. • Experience with DevOps release management, versioning, build management, automation scripting, and CI tools such as GitHub Actions. • Excellent verbal and written communication skills in English. • Ability to serve as a guide to the team and provide best practices as a DevOps Tech Lead, particularly around AI infrastructure and AI-augmented workflows. #LI-AS1