Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

Description

You will lead the architecture and delivery of Google Cloud Platform (GCP) solutions, guiding teams through best practices for cloud-native transformations. You will manage complex deployments, set up scalable and reliable processes, and drive strategic technical decisions in collaboration with customers. You will also define DevOps practices (CI/CD and Infrastructure as Code) and oversee Kubernetes-based operations and performance.

Responsibilities

• Clarify technical requirements and define project scope

• Lead customer engagement to ensure project alignment and success

• Direct the adaptation of customer applications to cloud-native frameworks

• 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 network architecture, application security, billing processes)

• 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: Google Kubernetes Engine (GKE), CloudBuild, Secret Management, Container Registry

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

• Strong knowledge of version control systems (GitHub), including branch strategies and 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 (Terraform) and configuration management tools (Ansible)

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

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

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

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

• Strong 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

• Stable income (Employment Contract or B2B)

• Employee Stock Purchase Plan

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

• Flexible schedule and the 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 support (GCP, Azure, AWS)

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

• English classes

• Corporate events plus social and well-being events

• Referral bonuses

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