GitLab Engineer / DevOps Engineer

Hybrid work model (Warsaw) B2B: 180-200 zł/h netto + VAT We are seeking a GitLab Engineer / DevOps Engineer to join our centralized DevOps Tools Team. This is a hands-on role with a strong focus on platform enablement, reliability, scalability, and developer experience. Responsibilities: • Design, implement, and manage GitLab components and configurations (groups, projects, runners, pipelines, templates, shared libraries). • Build and maintain shared CI/CD pipelines, reusable templates, and best-practice patterns for delivery at scale. • Integrate additional DevOps tooling (e.g., artifact repositories, secret management, scanning/SAST/DAST, observability, policy-as-code). • Implement and maintain GitLab Runners (Kubernetes, autoscaling, Docker, shell) with enterprise-grade reliability and security. • Contribute to test automation frameworks and integration of automated quality gates (unit, integration, e2e, performance, security scans) within pipelines. • Explore and implement AI-enabled use cases in CI/CD (e.g., intelligent test selection, code quality insights, pipeline optimization, AI assistants), ensuring governance and responsible AI principles. • Collaborate with security, platform, and product teams to standardize workflows, enforce policies, and improve developer productivity. • Monitor and optimize pipeline performance, cost, and reliability; establish SLAs/SLOs and relevant KPIs. • Create documentation, runbooks, and internal enablement materials; deliver training and provide Tier 2/3 support for GitLab and related tools. • Drive continuous improvement through automation, self-service capabilities, and feedback loops. Requirements: • 4–6 years of experience in DevOps, CI/CD, or site reliability engineering roles. • Expertise in GitLab components: projects, groups, runners, pipelines, templates, and shared libraries. • Proven experience designing, implementing, and maintaining CI/CD pipelines and automation frameworks. • Experience implementing and maintaining GitLab Runners across multiple environments (Kubernetes, autoscaling, Docker, shell). • Experience optimizing CI/CD pipelines for reliability, performance, and cost-efficiency. • Familiarity with AI/ML integration in DevOps workflows (intelligent test selection, code quality analysis, pipeline optimization) is a plus. Offer • Multisport card • Private healthcare • Access to an e‑learning platform • Group life insurance