Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

• Focus: Lead cloud-native delivery on Google Cloud Platform (GCP), DevOps practices, scalability/reliability, and AI-enabled solutions

Description

Lead the architecture and delivery of Google Cloud Platform cloud-native solutions, driving DevOps practices (CI/CD and Infrastructure as Code) and guiding teams in application modernization. Oversee complex deployments for scalability, reliability, and security on Kubernetes-based systems and GCP services, while mentoring the team and maintaining documentation of key technical decisions. Support AI integration efforts using enterprise AI platforms and implement RAG and agentic AI frameworks.

Responsibilities

• Clarify technical requirements and define project scope

• Lead customer engagement 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 deployment and configuration of GCP services for identity management, secure networking, application security, and billing

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

• Monitor, troubleshoot, and ensure optimal cloud performance (Kubernetes clusters and network connectivity)

• Mentor team members through knowledge sharing and training

Requirements

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

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

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

• Excellent knowledge of version control (GitHub), including branching and repository management

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

• Expertise in creating and managing Dockerfiles and Kubernetes YAML configurations

• In-depth knowledge of infrastructure automation (Terraform) and configuration management (Ansible)

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

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

• 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

• 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 modern GenAI technologies, LLMs, and enterprise AI solution design

Benefits

• Hybrid-by-design work mode with remote opportunity within Poland

• Chance to work abroad up to 60 days annually and potential business-driven relocation opportunities

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

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

• English classes

• Stable pay

• Employee Stock Purchase Plan with a 15% discount

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

• Referral bonuses up to $2,000

• Office amenities (entertainment/relaxation zones, table tennis/football, snacks, coffee)

• Corporate, social, and well-being events

• Benefits apply to employees; contractors are possible under individually agreed B2B terms