Senior GCP DevOps Engineer

Quick Facts

• Role: Senior GCP DevOps Engineer
• Focus: Google Cloud Platform DevOps, Kubernetes, CI/CD, Infrastructure as Code, monitoring, and enterprise AI integrations

Description

Support clients in implementing Google Cloud Platform products with architecture guidance, data migration support, troubleshooting, and monitoring. Help move customer applications to a cloud-native approach by applying DevOps practices (CI/CD, Infrastructure as Code) and optimizing deployments for scalability and security. Work across Kubernetes and cloud services, and contribute to enterprise AI integration using GenAI, RAG, and agentic AI frameworks.

Responsibilities

• Clarify technical requirements and project scope
• Communicate 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 (IaaC)
• Design and optimize scalable cloud applications (CDN, caching, compute optimizations, load balancing)
• Deploy and configure GCP services (identity management, network architecture, application security, billing)
• Document technical decisions, designs, and processes
• Monitor and troubleshoot cloud applications (network connectivity, cluster performance)
• Share knowledge and participate in training

Requirements

• 3+ years of experience in DevOps, Cloud Engineering, or related roles
• Knowledge of GCP services: GKE, CloudBuild, Secret Management, Container Registry
• Experience with high availability, scalability, and security for Kubernetes clusters and applications
• Version control proficiency (GitHub)
• CI/CD experience with GitHub Actions and/or Jenkins
• Ability to create and manage Dockerfiles and Kubernetes YAML configurations
• Infrastructure automation/configuration management using Terraform or Ansible
• Capability to troubleshoot Kubernetes clusters and network connectivity issues
• Familiarity diagnosing/debugging Python-based applications
• Enterprise AI integration experience using AWS Bedrock, Google Vertex AI, and Azure AI Services
• Expertise in designing, building, and operating AI agents/agentic AI frameworks
• Strong knowledge of 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
• English communication skills (B2 or higher)

Benefits

• Hybrid work model with opportunity to work remotely within Poland; chance to work abroad up to 60 days annually
• Business-driven 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 and Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Office amenities and corporate/social events focused on well-being

Note: Contractor work is also possible under individually agreed B2B terms.