Lead GCP DevOps Engineer

Quick Facts

• Role: Lead GCP DevOps Engineer

Description

Lead the design and delivery of Google Cloud Platform solutions in a customer-focused leadership role. You will drive cloud-native architecture decisions, define DevOps practices (CI/CD and Infrastructure as Code), and oversee secure, scalable deployments. You will also mentor the team and ensure high performance through monitoring, troubleshooting, and continuous improvements.

Responsibilities

• Clarify technical requirements and define project scope

• Lead customer engagement to ensure alignment and project success

• Guide 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 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 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)

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

• Strong knowledge of Version Control systems such as GitHub, including branch strategies and repository management

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

• Experience 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, networking issues, and distributed system performance bottlenecks

• Familiarity 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

• 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

• Flexible schedule and remote work opportunity within Poland

• Opportunity to work abroad up to 60 days annually; business-driven relocation opportunities

• Career growth: roadmap, leadership development, career advising, soft skills, well-being programs

• Certification support (GCP, Azure, AWS)

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

• English classes

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

• Comprehensive benefits package (health insurance, multisport, shopping vouchers)

• Office benefits and amenities; free snacks and coffee; entertainment areas

• Referral bonuses

• Corporate, social, and well-being events