Lead GCP DevOps Engineer İş İlanı

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. 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 We offer CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT Diversity of tasks and projects Assessment center for objective review of competency level Personal development plan Mentoring programs and leadership development Certification and professional development support Access to learning platforms including more than 2,500 internal courses English courses taught by certified teachers CORPORATE BENEFITS Extra leave days Referral bonuses COMPENSATION PACKAGE Competitive compensation paid in USD Regular salary and performance reviews MEDICAL & HEALTHCARE Private health insurance Well-being events WORKING ENVIRONMENT Recreation areas and kitchens Tea, coffee and snacks Sports equipment and game consoles IT Equipment Microsoft’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.