Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

Description

Lead cloud-native delivery on Google Cloud Platform, driving architecture, DevOps practices, and complex deployments with an emphasis on scalability and reliability. You will manage CI/CD and Infrastructure as Code, oversee GCP security and identity/networking services, and mentor teams through best practices. The role also includes troubleshooting and performance monitoring for Kubernetes-based workloads and supporting enterprise AI integrations and agentic AI/RAG implementations.

Responsibilities

• Clarify technical requirements and define project scope
• Lead customer engagement to ensure alignment and project success
• Direct adaptation of customer applications to a cloud-native framework
• Define 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 network architecture, application security, billing)
• Create and maintain documentation of decisions, designs, and processes
• Monitor, troubleshoot, and ensure optimal performance (Kubernetes clusters, 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 with GCP services: GKE, CloudBuild, Secret Management, Container Registry
• Ability to ensure high availability, scalability, and security for Kubernetes clusters and cloud applications
• Strong knowledge of version control systems (GitHub), including branch strategies and repository management
• Mastery of CI/CD tools such as GitHub Actions, Jenkins, or similar
• Expertise in creating/managing Dockerfiles and Kubernetes YAML configurations
• In-depth knowledge of infrastructure automation (Terraform) and configuration management (Ansible)
• Strong troubleshooting skills for Kubernetes clusters, network connectivity issues, and distributed system performance bottlenecks
• Familiarity with diagnosing and debugging Python-based applications and other cloud-native technologies
• 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 RAG architectures and implementation
• Hands-on experience with AI-assisted development tools (e.g., Cursor, Claude Code, Trae, OpenCode, Antigravity, or similar)
• 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 for up to 60 days annually
• Business-driven relocation opportunities
• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs
• Certification (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• Stable pay
• Employee Stock Purchase Plan participation with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Office amenities (entertainment and relaxation zones, table tennis and football, free snacks, coffee, etc.)
• Corporate, social and well-being events
• Benefits apply to employees; contractors are also possible under individually agreed B2B terms