DevOps Engineer AI-native Stack

You will join a newly formed team that is building a system based on the AI-native concept from scratch. Here, artificial intelligence is not just an add-on – it is the foundation of the architecture, development processes, and operations. As one of the first engineers on the team, you will have a real impact on the shape of the platform, the choice of technologies, and work standards. We are looking for someone with a passion for the cloud who wants to set trends in the AIOps era. Position Profile: Experience: Minimum 3 years of commercial experience as a DevOps/SRE/Platform Engineer, including at least 2 years with Kubernetes in a production environment Cloud Expertise: Experience working in a multi-cloud environment (AWS and GCP or Azure) Technical Stack: Proficiency in technologies: Docker, Helm, Terraform/IaC, GitLab CI/CD, nginx, PostgreSQL, and MS SQL Systems and Scripting: Very good knowledge of Linux (RHEL/Ubuntu) and proficiency in Bash/Python/Shell Scripting Methodology: Experience working in Agile/Scrum and maintaining high availability systems (HA/SLA) Education: Higher technical education preferred (Computer Science and related) or documented professional achievements Languages: Polish (min. C1) and English (min. B2) – fluent reading of documentation and technical communication is essential Nice to have: Certificates (CKA/CKAD, AWS Solutions Architect, HashiCorp Terraform) and knowledge of tools such as ArgoCD, Prometheus/Grafana, or OpenTelemetry Your tasks: Building the platform from scratch: Designing multi-cloud architecture and Infrastructure as Code (IaC) and managing production Kubernetes clusters AI-native Operations: Integrating AI tools (e.g., Claude Code) into the team's workflow, implementing AIOps practices, and building pipelines supporting AI model deployment CI/CD & GitOps Automation: Creating advanced pipelines in GitLab CI and implementing the GitOps approach (ArgoCD) Security (DevSecOps): Implementing the security-by-design principle, managing secrets (Vault), and vulnerability scanning Observability: Implementing a full monitoring stack (Prometheus, Grafana, Loki) and defining SLO/SLI standards Collaboration and Mentoring: Supporting developers in containerization, participating in architectural decisions, and sharing knowledge What you will NOT be doing: L1/L2 support, maintaining old on-premise infrastructure, or working in isolation from the business For you: Private medical care at Allianz – access to specialists and diagnostic tests for you and your loved ones Cafeteria system – you can choose full co-financing for a Multisport card or allocate funds to culture, leisure, sports, and shopping Possibility of hybrid work model after the onboarding period (2 days remote work, 3 days office work) Opportunity to use advanced AI tools and Google Workspace Collaboration with various competency teams, which will allow you to learn new technologies and expand your IT knowledge Professional career development, real impact on business decisions made Facilities for cyclists (bike rooms), and for those who commute by car – above-ground and underground parking