Senior DevOps Automation Engineer

We are looking for a Senior DevOps Automation Engineer with deep, hands-on technical expertise to join our team.

In this role, you will be the driving force behind our continuous integration and continuous delivery (CI/CD) pipelines, complex system automation, and automated container workloads. This role has a heavy emphasis on Python development for DevOps and automation. You will design and optimize complex workflows, write robust automation scripts, manage self-hosted runner infrastructure at scale, and implement automation utilizing containerized technologies and Infrastructure as Code (IaC). Simply listing tools on your resume is not enough - we require a strong engineer with a proven track record of using Python as their core language to automate infrastructure and pipelines.

Responsibilities

Write, test, and maintain robust and clean Python scripts and tooling to automate complex infrastructure management, systems administration, and pipeline tasks

Design, configure, and maintain advanced GitHub Actions workflows using YAML, context variables, matrix strategies, environment configurations, caching mechanisms, and complex artifact management

Build, secure, and scale self-hosted runners and runner groups within restricted enterprise environments, including handling network and proxy constraints

Author and maintain highly reusable workflows through workflow_call, composite actions, and managing custom action versioning and publishing lifecycle

Package Python-based automation workflows into lightweight, portable containers using Docker or Podman, and manage, version, and deploy these containers to enterprise registries such as Artifactory, Azure Container Registry, or GitHub Packages

Leverage serverless and ephemeral virtual environments such as Azure Container Apps or ephemeral GitHub Runners to host, scale, and troubleshoot containerized workloads

Enforce CI/CD security best practices, including least-privilege tokens, environment protection rules, CODEOWNERS, signed actions, and action pinning

Provision, scale, and manage infrastructure components using Terraform and configuration management tools within an Infrastructure as Code approach

Requirements

Bachelor's or Master's Degree in Computer Science or a related field

At least 3 years of professional relevant experience in DevOps or automation engineering

Advanced Python mastery with proven experience writing production-grade Python scripts and tools designed specifically for systems automation, API integrations, and DevOps processes

Hands-on engineering experience in CI/CD with demonstrable delivery evidence using GitHub Actions

Proven experience configuring, managing, and scaling DevOps tools such as GitHub Actions, Docker, Kubernetes, and Terraform in production-grade environments

Strong proficiency with Docker or Podman container lifecycle, container registries, and deploying workloads onto ephemeral services such as Azure Container Apps or Kubernetes

Practical knowledge of networking fundamentals, including TLS, DNS, proxies, and firewalls, along with automated security workflows

SRE mindset with hands-on experience in pipeline telemetry, monitoring, troubleshooting, and conducting root cause analysis for automated workloads

English at C1 level or higher, with strong written and verbal 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