Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

Description

You will lead the architecture and delivery of Google Cloud Platform (GCP) cloud-native transformations, driving DevOps best practices and providing strategic technical oversight. You will manage complex deployments using CI/CD and Infrastructure as Code, and optimize Kubernetes-based applications for scalability and reliability. The role also supports enterprise AI integration, including agentic AI and Retrieval-Augmented Generation (RAG).

Responsibilities

• Clarify technical requirements, define project scope, and guide solution alignment

• Lead customer engagement to ensure delivery success

• Direct adaptation of customer applications to a cloud-native framework

• Define and implement DevOps practices: CI/CD pipelines and Infrastructure as Code (IaC)

• Architect and optimize cloud applications for scalability (CDN, caching, compute optimizations, load balancing)

• Oversee deployment and configuration of GCP services (identity management, secure network architecture, application security, billing processes)

• Create and maintain documentation of technical decisions, designs, and processes

• Monitor, troubleshoot, and ensure optimal performance for Kubernetes clusters and network connectivity

• Mentor and train team members through knowledge-sharing sessions

Requirements

• 5+ years of experience in DevOps, Cloud Engineering, or related roles

• Advanced hands-on expertise in GCP services: GKE, CloudBuild, Secret Management, Container Registry

• Proven ability to manage high availability, scalability, and security for Kubernetes clusters and cloud applications

• Excellent version control knowledge with GitHub (branch strategies and repository management)

• Mastery of CI/CD tools such as GitHub Actions, Jenkins, or similar

• Expertise creating and managing Dockerfiles and Kubernetes YAML configurations

• Infrastructure automation with Terraform; configuration management with Ansible

• Strong troubleshooting for Kubernetes, network connectivity issues, and distributed system performance bottlenecks

• Familiarity diagnosing/debugging Python-based applications and other cloud-native technologies

• Enterprise AI integration experience with AWS Bedrock, Google Vertex AI, and Azure AI Services

• Expertise in design, build, and operation of 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

• Hybrid-by-design with opportunity to work remotely within Poland; possibility to work abroad up to 60 days annually

• Career development programs, mentoring, and soft-skills/well-being programs

• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes

• Stable pay and participation in an 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

• Note: benefits are for employees only; contractors may be considered under individually agreed B2B terms.