EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for a Senior DevOps Engineer & AI Adoption Specialist to act as the bridge between our high-scale cloud platforms and our developer community.
Your main objective is to accelerate the onboarding, training, and overall adoption of modern DevOps tooling and AI-powered workflows (such as GitHub Copilot). This role requires someone with a solid technical foundation in DevOps and cloud concepts, combined with outstanding communication skills. If you enjoy technical writing,



producing instructional videos, facilitating workshops, and teaching developers how to utilize generative AI to write, debug, and configure infrastructure and pipelines faster, this role is for you.
Responsibilities
Design, implement, and maintain structured onboarding journeys, interactive learning paths, and self-service portals for developer teams using our platform
Author high-quality, clear, and concise technical documentation, quick-start guides, FAQs, and release notes in Markdown and internal wikis
Script, record, and edit short, engaging visual tutorials and video guides to walk developers through DevOps tools and workflows
Champion the adoption of AI-assisted engineering tools across development teams
Teach and guide development teams on how to effectively use AI tools (such as GitHub Copilot) for code generation, troubleshooting configuration prompts, and optimizing infrastructure/CI-CD workflo

📌 Senior DevOps Engineer (México)
🏢 Epam Systems
📍 México