Lead GCP DevOps Engineer

Our requirements

• 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

Your 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

About the project

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• DevOps

What we offer

Development opportunities we offer

• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• mentoring
• soft skills training
• space for experimenting
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company

Benefits

• private medical care
• life insurance
• flexible working time
• fruits
• integration events
• retirement pension plan
• no dress code
• video games at work
• coffee / tea
• parking space for employees
• leisure zone
• employee referral program
• charity initiatives

Recruitment stages

• 1.
  Recruiter Interview (30 min)
• 2.
  Technical Interview (90 min)
• 3.
  Manager Interview (60 min)
• 4.
  Meeting with the Project Team or Client (60 min, optional)
• 5.
  Welcome Aboard!

EPAM Systems (Poland) sp. z o.o.