Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

Description

Lead and oversee Google Cloud Platform DevOps and cloud-native transformation efforts, driving architecture, best practices, and strategic oversight. Own technical scope and alignment with customers, guide application modernization, and implement DevOps practices including CI/CD and Infrastructure as Code. Ensure scalability, reliability, security, and performance across GCP services and Kubernetes environments, while also contributing to enterprise AI integration and agentic/GenAI solutions.

Responsibilities

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

Requirements

• 5+ years of experience in DevOps, Cloud Engineering, or related roles
• Advanced hands-on expertise in GCP (GKE, Cloud Build, Secret Management, Container Registry)
• Ability to manage high availability, scalability, and security for Kubernetes clusters and cloud applications
• Strong version control with GitHub, including branching and repository management
• Experience building and operating CI/CD pipelines (GitHub Actions, Jenkins, or similar)
• Experience creating and managing Dockerfiles and Kubernetes YAML configurations
• Infrastructure automation with Terraform and configuration management with Ansible
• Strong troubleshooting skills for Kubernetes, network connectivity, and distributed system performance bottlenecks
• Experience diagnosing and debugging Python-based cloud-native applications
• Enterprise AI integration experience (AWS Bedrock, Google Vertex AI, Azure AI Services)
• Design, build, and operate AI agents and agentic AI frameworks
• Strong knowledge of Retrieval-Augmented Generation (RAG) architectures and implementation
• Hands-on experience with AI-assisted development tools (Cursor, Claude Code, Trae, OpenCode, Antigravity, or similar)
• Understanding of GenAI technologies, LLMs, and enterprise AI solution design

Benefits

• Stable pay
• Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, MultiSport, shopping vouchers)
• Career development programs, thought leadership, mentoring, soft skills, and well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• Hybrid work with the option to work remotely within Poland
• Chance to work abroad up to 60 days annually; business-driven relocation opportunities
• Referral bonuses up to $2,000
• Office amenities and corporate social and well-being events

Note: Benefits listed are available to employees; B2B contractor terms are agreed individually.