Lead GCP DevOps Engineer

EPAM Systems; Turkey; On-site; TRY 5,842,000 - 8,763,000; Full time

Job summary

EPAM Systems is seeking a seasoned Lead GCP DevOps Engineer to steer Google Cloud Platform solutions for clients. The role focuses on architecture, leadership, and strategic oversight for cloud-native transformations, including defining practices for scalable, reliable deployments.

You will guide teams, own technical decisions, oversee complex deployments, and ensure best practices across CI/CD and IaC while mentoring colleagues to strengthen technical capabilities across the organization.

Qualifications

• 5+ years of experience in DevOps, Cloud Engineering, or related roles.
• At least 1 year of relevant leadership experience.
• Advanced qualifications in GCP services (GKE, CloudBuild, Secret Management, Container Registry).
• Ability to manage high availability, scalability and security for Kubernetes clusters and cloud apps.
• Proficiency with GitHub, including branch strategies and repo management.

Responsibilities

• Own clarifying technical requirements and define project scope.
• Lead customer engagements to ensure project alignment and success.
• Direct and supervise the adaptation of customer apps into a cloud-native framework.
• Define and implement DevOps practices, including CI/CD and IaC.
• Architect and optimize cloud apps for scalability, including CDN, caching, and load balancing.
• Oversee deployment and config of GCP services (identity, network, security, billing).
• Document technical decisions, designs, and processes.
• Monitor and troubleshoot cloud apps and Kubernetes clusters.
• Mentor team members through knowledge-sharing and training.

Skills

DevOps

Cloud Engineering

GCP

Leadership

CI/CD

IaC

Kubernetes

Terraform

Ansible

GitHub

Docker

Security

Networking

Python

AI/ML integration

Tools

GitHub Actions

Jenkins

Docker

Kubernetes

Terraform

Ansible

Job description

We are looking for a seasoned Lead GCP DevOps Engineer to take on a pivotal role in delivering Google Cloud Platform solutions for our clients. In this leadership position, you will drive the architecture, guide teams on best practices, and provide strategic oversight for cloud-native transformations. You will play a key role in shaping technical decisions, managing complex deployments, and establishing processes for scalability and reliability.

We would like to inform you that this role is primarily offered under a standard employment contract, in accordance with applicable labor regulations.

Responsibilities

• Take ownership of clarifying technical requirements and defining project scope
• Lead customer engagements to ensure project alignment and success
• Direct and supervise the adaptation of customer applications into 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, covering CDN, caching, compute optimizations, and robust load-balancing setups
• Oversee deployment and configuration of GCP services, including identity management, secure network architecture, application security, and billing processes
• Create and maintain thorough documentation of technical decisions, designs, and processes
• Monitor, troubleshoot, and ensure optimal performance of cloud applications, including Kubernetes clusters and network connectivity
• Mentor and guide team members via knowledge-sharing and training sessions to strengthen technical expertise across the team

Requirements

• 5+ years of experience in DevOps, Cloud Engineering, or related roles
• At least 1 year of relevant leadership experience
• Advanced qualifications in GCP services such as Google Kubernetes Engine (GKE), CloudBuild, Secret Management, and Container Registry, along with hands‑on expertise
• Capability to manage high availability, scalability, and security for Kubernetes clusters and cloud applications
• Knowledge of Version Control systems like GitHub, including branch strategies and repository management
• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar platforms
• Expertise in creating and managing Dockerfiles and Kubernetes YAML configurations
• Understanding of infrastructure automation tools such as Terraform and configuration management tools like Ansible
• Skills in troubleshooting Kubernetes clusters, network connectivity issues, and distributed system performance bottlenecks
• Familiarity with diagnosing and debugging Python-based applications and other cloud-native technologies
• Background in enterprise AI integration using AWS Bedrock, Google Vertex AI, and Azure AI Services
• Expertise in designing, building, and operating AI agents and agentic AI frameworks
• Knowledge of Retrieval-Augmented Generation (RAG) architectures and their implementation
• Flexibility to use 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