Senior Devops Engineer Automotive Ci Cd Expert

SENIOR DEVOPS ENGINEER AUTOMOTIVE CI CD CTWe are seeking a Senior DevOps Engineer with 3 to 8 years of experience to design implement and maintain automated build quality and Software in the Loop SIL testing pipelines for automotive software development. The role focuses on integrating automotive engineering toolchains with modern cloud native DevOps platforms and ensuring scalable reliable and traceable development workflows.

Experience3 to 8 years. Key Responsibilities. Design build and scale automated pipelines for automotive embedded software components. Develop and maintain Software in the Loop SIL simulation pipelines for virtual validation. Integrate static code analysis dynamic analysis and automated testing into CI CD workflows. Containerize automotive tools including MATLAB Simulink CANoe vTESTstudio dSPACE and compiler toolchains.

Manage deterministic build environments using Docker virtual machines and Infrastructure as Code principles. Integrate GitHub Enterprise with Azure Boards to ensure complete traceability between development activities and work items. Automate artifact management versioning and compliance documentation supporting ISO 26262 requirements.

Support virtualization of testing environments for scalable cloud based execution. Develop AI assisted automation solutions for pipeline optimization monitoring and validation. Create automation scripts using Python Bash and Power. Shell. Support hybrid environments across cloud infrastructure and on premises build systems.

Implement logging monitoring and performance optimization for engineering pipelines. Improve infrastructure efficiency build speed and overall platform reliability. Required SkillsGit GitLab CI GitHub GitHub Actions. Azure AKS ACR Key Vault Azure Monitor. Docker Kubernetes. Python Bash Power. Shell. Linux administration and virtualizationAUTOSAR exposureCANoe vTESTstudio dSPACE Target.

LinkSIL environment setup and automation. Automotive software development lifecycle knowledge. Software Defined Vehicle SDV ecosystem exposure. Exposure to AI Agents and LLM based automation

Skills: Cloud, Cloud , C#

• C#, DATABASES , Git, Gitlab CI, GitHub, GitHub Action
• Azure, AKS, ACR, Key Vault, Azure Monitor
• Docker, Kubernetes
• Python, Bash, Power. Shell
• Exposure on AI Agent, LLMs
• Linux administration and virtualization
• AUTOSAR exposure
• CANoe, vTESTstudio, dSPACE, Target. Link integration
• SIL environment setup and automation
• Automotive software development lifecycle understanding
• Software Defined Vehicle ecosystem exposure