Senior GCP DevOps Engineer

Quick Facts

Senior GCP DevOps Engineer supporting client implementations on Google Cloud Platform, with responsibilities spanning DevOps (CI/CD, IaC), Kubernetes and GCP service operations, and enterprise AI integration.

Description

You will help with architecture guidance, data migration, troubleshooting, and monitoring while ensuring GCP best practices. The role includes clarifying technical requirements and scope, assisting customers in adopting a cloud-native approach, and implementing CI/CD and Infrastructure as Code. You will also design and optimize scalable cloud applications and document designs and operational decisions.

Responsibilities

• Clarify technical requirements and project scope
• Communicate actively with customers to ensure project alignment
• Support adaptation of customer applications to a cloud-native approach
• Implement DevOps practices including CI/CD and Infrastructure as Code (IaC)
• Design and optimize GCP applications for scalability (CDN, caching, compute optimizations, load balancing)
• Deploy and configure GCP services: identity management, network architecture, application security, and billing
• Document technical decisions, designs, and processes
• Monitor and troubleshoot cloud applications, including network connectivity and cluster performance
• Share knowledge and participate in training sessions

Requirements

• 3+ years of experience in DevOps, Cloud Engineering, or related roles
• GCP expertise with Google Kubernetes Engine (GKE), CloudBuild, Secret Management, and Container Registry
• Experience with high availability, scalability, and security for Kubernetes clusters and applications
• Proficiency in version control (GitHub)
• CI/CD experience using GitHub Actions and/or Jenkins
• Ability to create and manage Dockerfiles and Kubernetes YAML configurations
• Knowledge of infrastructure automation/configuration management tools (Terraform or Ansible)
• Ability to troubleshoot Kubernetes clusters and network connectivity
• Familiarity with diagnosing and debugging Python-based applications
• 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 (Cursor, Claude Code, Trae, OpenCode, Antigravity, or similar)
• Understanding of generative AI technologies, LLMs, and enterprise AI solution design
• Strong English communication skills (B2+)

Benefits

• Flexible schedule and remote work opportunity within Poland; possibility to work abroad up to 60 days annually
• Business-driven relocation opportunities
• Career roadmap, leadership development, career advising, soft skills and well-being programs
• Certification opportunities (GCP, Azure, AWS)
• Unlimited access to learning platforms (LinkedIn Learning, Get Abstract, Cloud Guru) and English classes
• Stable income (Employment Contract or B2B)
• Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Office amenities and social events; referral bonuses