Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

Description

Lead the architecture and delivery of Google Cloud Platform solutions for cloud-native transformations. Own technical scope and requirements clarification, direct CI/CD and Infrastructure as Code practices, and ensure scalable, reliable deployments on GCP (including Kubernetes operations and network connectivity). Mentor teams, troubleshoot production issues, and document technical decisions end to end.

Responsibilities

• Clarify technical requirements and define project scope
• Lead customer engagement to ensure alignment and project success
• Guide adaptation of customer applications to cloud-native frameworks
• Define DevOps practices, including CI/CD pipelines and Infrastructure as Code (IaaC)
• Architect and optimize applications for scalability using CDN, caching, compute optimizations, and load balancing
• Oversee deployment and configuration of GCP services (identity management, secure networking, application security, billing)
• Create and maintain documentation for designs, decisions, and processes
• Monitor, troubleshoot, and maintain optimal performance for cloud apps, including Kubernetes clusters
• Mentor and train team members through knowledge sharing

Requirements

• 5+ years of experience in DevOps, Cloud Engineering, or related roles
• Advanced, hands-on expertise in GCP services: GKE, CloudBuild, Secret Management, Container Registry
• Proven ability to ensure high availability, scalability, and security for Kubernetes clusters and cloud applications
• Excellent knowledge of GitHub and version control workflows (branch strategies, 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 Terraform and Ansible for infrastructure automation and configuration management
• Strong troubleshooting for Kubernetes, network connectivity issues, and distributed system performance bottlenecks
• Familiarity with diagnosing and debugging Python-based cloud-native applications
• Experience integrating enterprise AI using AWS Bedrock, Google Vertex AI, and Azure AI Services
• Expertise 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

• Hybrid-by-design mode with opportunity to work remotely within Poland
• Chance to work abroad up to 60 days annually and relocation opportunities
• Career development programs; thought leadership, mentoring, soft skills and well-being programs
• Certification support (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay
• Employee Stock Purchase Plan with 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Office amenities and social/well-being events
• Benefits apply to employees only; contractor (B2B) cooperation possible with terms agreed individually