Lead GCP DevOps Engineer

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, the company empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• 5+ years of experience in DevOps, Cloud Engineering or related roles
• Advanced qualifications and hands-on expertise in Google Cloud Platform services including 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
• Understanding of modern Generative AI technologies, LLMs, and enterprise AI solution design

• 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

This role is primarily offered under a standard employment contract, in accordance with applicable labor regulations.