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.
What We Need to See:
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.
Ways to Stand Out from the Crowd:
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.
