Senior DevOps Engineer

Our team is looking for a Senior DevOps Engineer to join us and take ownership of the CI/CD infrastructure, automation pipelines, and development tooling that power our engineering teams. This position plays a key role in enabling fast, reliable, and scalable software delivery — from code commit to test execution and reporting. You will be the go-to expert for DevOps practices, collaborating closely with software engineers, validation teams, and infrastructure stakeholders across the organization.

What You'll Be Doing

• Design, implement, and maintain CI/CD pipelines for software and validation projects, ensuring fast, stable, and automated delivery workflows
• Own and evolve the DevOps infrastructure — including build systems, artifact management, deployment automation, and environment provisioning
• Develop and maintain automation tools, scripts, and integrations that streamline developer workflows and reduce manual overhead
• Collaborate with validation, infrastructure, and software engineering teams to define and enforce DevOps best practices across the organization
• Monitor system health, pipeline reliability, and build performance; identify bottlenecks and continuously improve observability and stability
• Manage containerization and orchestration solutions (Docker, Kubernetes) for test environments and internal services
• Support the integration of automated testing frameworks into CI/CD flows, ensuring test coverage and results are tracked and visible
• Evaluate and introduce new DevOps tooling and methodologies to keep the team at the forefront of engineering efficiency
  
  

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of hands-on experience in DevOps, platform engineering, or software infrastructure roles
• Strong proficiency in CI/CD tools with hands-on experience in GitLab CI/CD pipelines; familiarity with Jenkins, GitHub Actions, or equivalent is a plus
• Experience with containerization and orchestration — Docker, Kubernetes
• Solid scripting and automation skills — Python, Bash, and/or similar
• Familiarity with infrastructure-as-code tools (Terraform, Ansible, or similar)
• Deep familiarity with Linux environments and system administration
• Experience with version control systems (Git) and branching strategies
• Strong debugging, problem-solving, and root-cause analysis skills
  
  

• Experience building and scaling DevOps infrastructure for hardware validation or embedded systems environments
• Background working with test execution frameworks and integrating them into CI/CD pipelines
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, or similar)
• Knowledge of cloud platforms (AWS, GCP, Azure) or on-premise HPC environments
• Experience integrating AI/ML workflows and AI agent pipelines into CI/CD flows, including model versioning, automated testing, and deployment automation for AI-driven systems