GitLab Engineer / DevOps Engineer

Hybrid work model (Warsaw)B2B: 180-200 zł/h netto + VATWe 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.OfferMultisport cardPrivate healthcareAccess to an e‑learning platformGroup life insurance