Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

Description

Lead and architect Google Cloud Platform (GCP) cloud-native solutions while driving DevOps practices, complex deployments, and scalable, reliable infrastructure. Provide technical leadership to modernize customer applications, implement CI/CD and Infrastructure as Code, and optimize Kubernetes-based systems for performance and security. Support enterprise AI integration and development, including agentic AI and Retrieval-Augmented Generation (RAG).

Responsibilities

• Clarify technical requirements and define project scope

• Engage customers to ensure alignment and project success

• 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 GCP service deployment and configuration (identity management, secure networking, application security, billing)

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

• Monitor, troubleshoot, and ensure optimal performance for cloud applications (including 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: GKE, CloudBuild, Secret Management, Container Registry

• Experience managing high availability, scalability, and security for Kubernetes clusters and cloud applications

• Strong knowledge of Version Control systems such as GitHub (branch strategies and repository management)

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

• Experience creating and managing Dockerfiles and Kubernetes YAML

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

• Strong troubleshooting for Kubernetes clusters, networking, and distributed system performance bottlenecks

• Familiarity diagnosing and debugging Python-based applications

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

• Expertise designing, building, and operating AI agents and agentic AI frameworks

• Strong knowledge of RAG architectures and implementation

• Hands-on experience with AI-assisted development tools (e.g., Cursor, Claude Code, Trae, OpenCode, Antigravity)

• Understanding of generative AI technologies, LLMs, and enterprise AI solution design

Benefits

• Flexible schedule and opportunity to work remotely within Poland

• Opportunity to work abroad for up to 60 days annually

• Business-driven relocation opportunities

• Career roadmap and leadership development

• Certification support (GCP, Azure, AWS)

• Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru

• English classes

• Stable income (Employment Contract or B2B) and participation in Employee Stock Purchase Plan

• Benefits package (health insurance, multisport, shopping vouchers)

• Strategically located offices with amenities (entertainment/relaxation zones, table tennis, football, snacks, coffee)

• Referral bonuses

• Corporate, social, and well-being events