Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer focused on cloud-native transformations and GCP delivery
• Contract: Standard employment contract

Description

You will lead the architecture and delivery of Google Cloud Platform solutions, driving best practices for scalability and reliability. The role includes DevOps ownership (CI/CD and Infrastructure as Code), leadership on Kubernetes-based deployments, and guidance for cloud-native application adaptation. You will also collaborate with customers on scope alignment and provide mentorship to the team.

Responsibilities

• Clarify technical requirements and define project scope
• Lead customer engagement to ensure alignment and project success
• Direct and supervise 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 (CDN, caching, compute optimizations, load balancing)
• Oversee deployment and configuration of GCP services (identity management, secure networking, application security, billing processes)
• Create and maintain documentation of technical decisions, designs, and processes
• Monitor, troubleshoot, and ensure optimal performance (Kubernetes clusters and network connectivity)
• Mentor and guide team members through knowledge-sharing and training

Requirements

• 5+ years of experience in DevOps, Cloud Engineering, or related roles
• Advanced, hands-on expertise in GCP services such as GKE, CloudBuild, Secret Management, and Container Registry
• Proven ability to manage high availability, scalability, and security for Kubernetes clusters and cloud applications
• Advanced knowledge of version control (e.g., GitHub), including branching and repository management
• Mastery of CI/CD tools such as GitHub Actions or Jenkins
• Expertise creating and managing Dockerfiles and Kubernetes YAML configurations
• In-depth knowledge of infrastructure automation tools (Terraform) and configuration management (Ansible)
• Strong troubleshooting skills for Kubernetes, network connectivity, 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 designing, building, and operating AI agents and agentic AI frameworks
• Strong knowledge of Retrieval-Augmented Generation (RAG) architectures and implementation
• Hands-on experience with AI-assisted development tools (e.g., Cursor, Claude Code, Trae, OpenCode, Antigravity)
• Understanding of modern Generative AI technologies, LLMs, and enterprise AI solution design

Benefits

• Growth opportunities: career roadmap, leadership development, career advising, soft skills and well-being programs
• Certification support (GCP, Azure, AWS)
• Unlimited access to learning platforms (LinkedIn Learning, Get Abstract, Cloud Guru) and English classes
• Stable income (Employment Contract or B2B) and access to Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Remote flexibility within Poland, chance to work abroad up to 60 days annually, and business-driven relocation opportunities
• Referral bonuses and corporate/social well-being events