Lead GCP DevOps Engineer

Quick Facts

Lead a cloud-native DevOps engineering effort focused on Google Cloud Platform (GCP), including architecture, deployments, CI/CD, and Kubernetes reliability/performance. The role also includes strong enterprise AI integration experience (agentic AI and RAG).

Description

Lead the architecture and delivery of GCP solutions and guide teams toward best practices for cloud-native transformations. You will own DevOps processes such as CI/CD and Infrastructure as Code, architect scalable applications, oversee GCP service configuration, and ensure production performance. You will also mentor the team and maintain comprehensive documentation.

Responsibilities

• Clarify technical requirements and define project scope
• Engage customers to ensure project alignment and 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 for identity management, secure network architecture, application security, and billing
• Create and maintain documentation of technical decisions, designs, and processes
• Monitor, troubleshoot, and ensure optimal performance for cloud applications, including 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: Google Kubernetes Engine (GKE), CloudBuild, Secret Management, Container Registry
• Ability to manage high availability, scalability, and security for Kubernetes clusters and cloud applications
• Excellent knowledge of version control systems such as GitHub (branch strategies and repository management)
• Mastery of CI/CD tools such as GitHub Actions, Jenkins, or similar platforms
• Expertise creating and managing Dockerfiles and Kubernetes YAML configurations
• In-depth knowledge of infrastructure automation tools such as Terraform and configuration management tools like Ansible
• Strong troubleshooting skills for Kubernetes clusters, network connectivity issues, and distributed performance bottlenecks
• Familiarity diagnosing/debugging Python-based applications and other cloud-native technologies
• Experience integrating enterprise AI 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 implementation
• Hands-on experience with AI-assisted development tools (Cursor, Claude Code, Trae, OpenCode, Antigravity, or similar)
• Understanding of modern Generative AI technologies, LLMs, and enterprise AI solution design

Benefits

• Stable pay and Employee Stock Purchase Plan with a 15% discount
• Health insurance, multisport, and shopping vouchers
• Referral bonuses up to $2,000
• Employee growth: career development programs, thought leadership, mentoring, and well-being programs
• Certification support (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Hybrid-by-design work model with remote work opportunity within Poland; chance to work abroad up to 60 days annually
• Business-driven relocation opportunities
• Corporate, social, and well-being events; office amenities (entertainment/relaxation zones, snacks, coffee)
• Benefits are for employees; contractor (B2B) cooperation terms can be agreed individually