Lead GCP DevOps Engineer

Quick Facts

Role: Lead GCP DevOps Engineer

Employment: Standard employment contract (per applicable labor regulations)

Focus: Leadership in GCP cloud-native transformations, DevOps practices, and AI-enabled architectures

Description

Lead and architect Google Cloud Platform solutions while guiding teams through best practices for cloud-native transformation. Drive DevOps delivery across CI/CD, Infrastructure as Code, Kubernetes and GCP service deployments, and performance monitoring. Mentor engineers and ensure customer application modernization aligns with project scope and success.

Responsibilities

• Clarify technical requirements and define project scope
• Provide leadership in customer engagement to ensure alignment and project 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 (identity management, secure networking, application security, billing)
• Create and maintain documentation of technical decisions, designs, and processes
• Monitor, troubleshoot, and ensure optimal performance (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), Cloud Build, Secret Management, Container Registry
• Proven ability to manage high availability, scalability, and security for Kubernetes clusters and cloud applications
• Excellent knowledge of version control systems like GitHub (branch strategies, repository management)
• Mastery of CI/CD tools such as GitHub Actions, Jenkins, or similar platforms
• Expertise in creating and managing Dockerfiles and Kubernetes YAML configurations
• In-depth knowledge of infrastructure automation tools like Terraform and configuration management tools like Ansible
• Strong troubleshooting skills for Kubernetes clusters, networking 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 in design, build, and operation of AI agents and agentic AI frameworks
• Strong knowledge of Retrieval-Augmented Generation (RAG) architectures and implementation
• Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Trae, OpenCode, Antigravity, or similar
• Understanding of modern generative AI technologies, LLMs, and enterprise AI solution design

Benefits

• Friendly engineering community and enjoyable working environment
• Flexible schedule and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• Career roadmap, leadership development, career advising, soft skills, and well-being programs
• Certifications (GCP, Azure, AWS)
• Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru; English classes
• Stable income (Employment Contract or B2B) and Employee Stock Purchase Plan
• Benefits package: health insurance, multisport, shopping vouchers
• Corporate events and well-being events
• Referral bonuses