Lead DevOps Automation Engineer

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.

Responsibilities

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

Requirements

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

We offer

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn