Lead GCP DevOps Engineer

EPAM Systems, Inc.; Turkey; On-site; TRY 5,894,000 - 7,367,000; Full time

Benefits offered by this job

Extra leave days

Referral bonuses

Private health insurance

Well-being events

English courses

Job summary

EPAM Systems, Inc. is seeking a seasoned Lead GCP DevOps Engineer to drive cloud-native transformations and cloud architecture for enterprise clients. You will lead teams, shape technical decisions, and oversee complex deployments across Google Cloud Platform ecosystems.

You will architect scalable, secure cloud solutions, implement IaC and CI/CD, and mentor engineers while ensuring reliability and performance of Kubernetes clusters and related services.

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 such as Google Kubernetes Engine (GKE), CloudBuild, Secret Management, and Container Registry.
• 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.

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 (IaC).
• 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.

Skills

GCP

Kubernetes

CI/CD

Terraform

Docker

Python

AI integration

Leadership

Tools

GitHub

Jenkins

Terraform

Ansible

Docker

Kubernetes

GKE

CloudBuild

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.If you have the expertise and passion for leading impactful projects, we invite you to apply.We would like to inform you that this role is primarily offered under a standard employment contract, in accordance with applicable labor regulations.ResponsibilitiesTake ownership of clarifying technical requirements and defining project scopeLead customer engagements to ensure project alignment and successDirect and supervise the adaptation of customer applications into a cloud-native frameworkDefine 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 setupsOversee deployment and configuration of GCP services, including identity management, secure network architecture, application security, and billing processesCreate and maintain thorough documentation of technical decisions, designs, and processesMonitor, troubleshoot, and ensure optimal performance of cloud applications, including Kubernetes clusters and network connectivityMentor and guide team members via knowledge-sharing and training sessions to strengthen technical expertise across the teamRequirements5+ years of experience in DevOps, Cloud Engineering, or related rolesAt least 1 year of relevant leadership experienceAdvanced qualifications in GCP services such as Google Kubernetes Engine (GKE), CloudBuild, Secret Management, and Container Registry, along with hands-on expertiseCapability to manage high availability, scalability, and security for Kubernetes clusters and cloud applicationsKnowledge of Version Control systems like GitHub, including branch strategies and repository managementProficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar platformsExpertise in creating and managing Dockerfiles and Kubernetes YAML configurationsUnderstanding of infrastructure automation tools such as Terraform and configuration management tools like AnsibleSkills in troubleshooting Kubernetes clusters, network connectivity issues, and distributed system performance bottlenecksFamiliarity with diagnosing and debugging Python-based applications and other cloud-native technologiesBackground in enterprise AI integration using AWS Bedrock, Google Vertex AI, and Azure AI ServicesExpertise in designing, building, and operating AI agents and agentic AI frameworksKnowledge of Retrieval-Augmented Generation (RAG) architectures and their implementationFlexibility to use AI-assisted development tools, such as Cursor, Claude Code, Trae, OpenCode, Antigravity, or similarUnderstanding of modern Generative AI technologies, LLMs, and enterprise AI solution designWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is 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, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.