Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

Description

Lead and architect Google Cloud Platform (GCP) cloud-native solutions, driving DevOps practices such as CI/CD and Infrastructure as Code to enable scalable and reliable deployments. You will supervise application modernization to Kubernetes, manage key GCP services (identity management, secure networking, application security, and billing), and provide leadership across teams and customer alignment. You’ll also monitor, troubleshoot, and optimize performance, while mentoring teammates and documenting architecture and decisions.

Responsibilities

• Clarify technical requirements and define project scope

• Lead customer engagement 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 (identity, secure network architecture, 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 via knowledge-sharing and training

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 ensure high availability, scalability, and security for Kubernetes clusters and cloud applications

• Excellent knowledge of GitHub (branch strategies, repository management)

• Mastery of CI/CD tools such as GitHub Actions or Jenkins (or similar platforms)

• Expertise creating and managing Dockerfiles and Kubernetes YAML configurations

• In-depth knowledge of infrastructure automation using Terraform and configuration management with Ansible

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

• Familiarity with diagnosing and debugging Python-based cloud-native applications

• Experience integrating enterprise AI using AWS Bedrock, Google Vertex AI, and Azure AI Services

• Expertise 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 (e.g., Cursor, Claude Code, Trae, OpenCode, Antigravity)

Benefits

• Hybrid by design with opportunity to work remotely within Poland

• Chance to work abroad for up to 60 days annually

• Business-driven relocation opportunities

• Career development programs and thought leadership/mentoring

• Certification support (Anthropic, Gemini, GCP, Azure, AWS)

• English classes

• Stable pay and Employee Stock Purchase Plan with a 15% discount

• Health insurance, multisport, and shopping vouchers

• Referral bonuses up to $2,000

• Office amenities and corporate social/well-being events

• Contractors possible; B2B terms agreed individually