Senior GCP DevOps Lead – Cloud-Native & AI Solutions

EPAM Systems; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid by design with Poland remote

Work abroad up to 60 days annually

Relocation opportunities

Certification programs (GCP, Azure, AI

Health insurance and multisport

Employee stock purchase plan

Job summary

EPAM Systems is seeking a Lead GCP DevOps Engineer to drive architecture and strategic cloud-native transformations. You will lead teams, define DevOps practices, and oversee deployments on GCP with a focus on scalability and reliability.

Your responsibilities include guiding customers, implementing IaaC, optimizing Kubernetes deployments, and mentoring engineers while ensuring secure, high-availability systems.

Qualifications

• 5+ years of experience in DevOps, Cloud Engineering or related roles.
• Advanced qualifications and hands‑on expertise in GCP services such as Google Kubernetes Engine (GKE), CloudBuild, Secret Management and Container Registry.
• Proven ability to manage high availability, scalability and security for Kubernetes clusters and cloud applications.
• Excellent knowledge of Version Control systems like GitHub, with experience in branch strategies and repository management.
• Mastery of CI/CD tools such as GitHub Actions, Jenkins or similar platforms.
• Expertise in creating and managing Dockerfiles and Kubernetes YAML configurations.
• In‑depth knowledge of infrastructure automation tools such as Terraform and configuration management tools like Ansible.
• Strong troubleshooting skills for Kubernetes clusters, network connectivity issues and distributed system performance bottlenecks.
• Familiarity with diagnosing and debugging Python‑based applications and other cloud‑native technologies.
• Experience with enterprise AI integration using AWS Bedrock, Google Vertex AI, and Azure AI Services.
• Expertise in design, build, and operation of AI agents and agentic AI frameworks.
• Strong knowledge of Retrieval‑Augmented Generation (RAG) architectures and implementation.
• Hands‑on experience with AI‑assisted development tools, such as Cursor, Claude Code, Trae, OpenCode, Antigravity, or similar.
• Understanding of modern Generative AI technologies, LLMs, and enterprise AI solution design.

Responsibilities

• Take ownership of technical requirements clarification and project scope definition.
• Provide leadership in engaging customers to ensure project alignment and success.
• Direct and supervise the adaptation of customer applications to a cloud-native framework.
• Define and implement DevOps practices, including CI/CD pipelines and Infrastructure as Code (IaaC).
• Architect and optimize cloud applications for scalability, including CDN, caching, compute optimizations and robust load-balancing setups.
• Oversee the deployment and configuration of GCP services such as identity management, secure network architecture, application security and billing processes.
• Create and maintain comprehensive documentation of technical decisions, designs and processes.
• Monitor, troubleshoot and ensure optimal performance for cloud applications, including Kubernetes clusters and network connectivity.
• Mentor and guide team members through knowledge-sharing and training sessions to enhance technical expertise across the team.

Skills

GCP

GKE

CI/CD

GitHub Actions

Jenkins

Terraform

Ansible

Docker

Kubernetes

Python

RAG

AI integration

AIOps

Tools

GitHub

Kubernetes

Docker

Terraform

Ansible

Job description

EPAM Systems is seeking a Lead GCP DevOps Engineer to drive architecture and strategic cloud-native transformations. You will lead teams, define DevOps practices, and oversee deployments on GCP with a focus on scalability and reliability.

Your responsibilities include guiding customers, implementing IaaC, optimizing Kubernetes deployments, and mentoring engineers while ensuring secure, high-availability systems.