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We are searching for a Lead DevOps Automation Engineer with strong, hands-on technical expertise to join our team.
In this position, you will be the key force driving our continuous integration and continuous delivery (CI/CD) pipelines, sophisticated system automation, and automated container workloads. The role places a significant focus on Python development for DevOps and automation. You will architect and refine complex workflows, craft dependable automation scripts, oversee self-hosted runner infrastructure at scale, and roll out automation using containerized technologies and Infrastructure as Code (IaC). Merely listing tools on your resume will not suffice - we are looking for a strong engineer with a demonstrated history of using Python as their primary language to automate infrastructure and pipelines.
- Author, test, and support robust and clean Python scripts and tooling that automate complex infrastructure management, systems administration, and pipeline activities
- Architect, configure, and maintain advanced GitHub Actions workflows leveraging YAML, context variables, matrix strategies, environment configurations, caching mechanisms, and sophisticated artifact management
- Set up, secure, and scale self-hosted runners and runner groups within restricted enterprise environments, addressing network and proxy constraints along the way
- Create and maintain highly reusable workflows through workflow_call, composite actions, and by managing custom action versioning together with the publishing lifecycle
- Bundle Python-based automation workflows into lightweight, portable containers using Docker or Podman, then version, manage, and deploy these containers to enterprise registries such as Artifactory, Azure Container Registry, or GitHub Packages
- Make use of serverless and ephemeral virtual environments such as Azure Container Apps or ephemeral GitHub Runners to run, scale, and troubleshoot containerized workloads
- Uphold CI/CD security best practices, including least-privilege tokens, environment protection rules, CODEOWNERS, signed actions, and action pinning
- Provision, scale, and manage infrastructure components with Terraform and configuration management tools following an Infrastructure as Code approach
- Bachelor's or Master's Degree in Computer Science or a comparable field
- No less than 5 years of hands-on professional experience in DevOps or automation engineering
- At least 1 year of experience leading and managing teams
- Advanced Python expertise with a proven history of writing production-grade Python scripts and tools tailored to systems automation, API integrations, and DevOps processes
- Applied engineering experience in CI/CD with clear delivery evidence using GitHub Actions
- Demonstrated background configuring, managing, and scaling DevOps tools such as GitHub Actions, Docker, Kubernetes, and Terraform within production-grade environments
- Strong command of Docker or Podman container lifecycle, container registries, and deploying workloads onto ephemeral services such as Azure Container Apps or Kubernetes
- Working knowledge of networking fundamentals, covering TLS, DNS, proxies, and firewalls, along with automated security workflows
- SRE-oriented mindset with hands-on experience in pipeline telemetry, monitoring, troubleshooting, and performing root cause analysis for automated workloads
- English at C1 level or higher, with strong written and spoken communication skills