DevOps Team Lead
Build and lead a DevOps capability for software and embedded R&D, establishing infrastructure, automation, and AI-enabled engineering practices.
תחומי אחריות
- Define and deliver DevOps strategy, architecture, and roadmap across software and embedded R&D
- Build and maintain scalable CI/CD pipelines, automation frameworks, and engineering infrastructure
- Implement automated testing, release management, artifact traceability, and quality monitoring
- Integrate AI tools, LLMs, and intelligent automation into engineering workflows
- Own and improve engineering toolchains, including Git, Jira, and related integrations
- Partner with Software, Embedded, QA, and IT teams to improve engineering efficiency and product quality
- Build, mentor, and lead a high-performing DevOps team while remaining hands-on
דרישות
- At least 7 years of experience in DevOps, CI/CD, engineering automation, or development infrastructure
- Experience building DevOps infrastructure and engineering processes from scratch across multiple organizations or product environments
- Hands-on expertise in CI/CD architecture, automation, scripting, infrastructure integration, and troubleshooting
- Experience with Git, GitHub, GitLab or Bitbucket, Jira, artifact repositories, and static code analysis tools
- Experience establishing automated testing and release management frameworks
- Practical experience integrating AI tools, LLMs, or AI agents into software engineering or DevOps workflows
- Understanding of software and embedded development lifecycles
- Experience with on-premises infrastructure, including Linux servers, networking, and virtualization
יתרון
- Experience leading and growing DevOps teams
- C/C++, Embedded Linux, or real-time systems experience
- Azure DevOps administration
- Docker, Kubernetes, HIL environments, or automated hardware testing
- Experience in defense, aerospace, electro-optics, or other complex multidisciplinary organizations
הטבות
- Build a DevOps capability from the ground up
- Lead engineering transformation through automation and AI
- Work on multidisciplinary technologies
- Combine technical leadership with hands-on engineering