Summary
✨ AI‑Generated
Work as a DevOps Engineer on an AI and data platform initiative, with a remote working model and approximately quarterly in-person presence. You will set up CI/CD pipelines for multilingual microservices and work with modern open-source technologies and reference architectures used in data-space ecosystems. The role offers exposure to cloud-native engineering, automation and large-scale digital infrastructure.
Highlights
Remote-first DevOps role with only approximately quarterly headquarters presence, focused on AI and data infrastructure, modern open-source technologies, CI/CD and microservice environments.
Description
Location: Remote with approx.
once per quarter presence in HQ (Warszawa, ul.
Marynarska 12)
Contract: Employment contract (Umowa o pracę) only
Working mode: Full time
Your department
This position is filled in the AI and Data Business Unit in the Digital Solutions portfolio unit of T-Systems International GmbH.
The AI and Data Products unit focuses on the development of the Telekom Data Intelligence Hub (DIH) among other products.
Our solutions are both the memory and the brain of digitization.
We use and contribute to the state-of-the-art open-source technologies and reference architectures from the IDSA, Catena-X and GAIA-X, IPCEI-CIS environment.
Always with the goal of bringing our customers' digitization strategies to success in the context of data spaces.
As Germany's largest digital service provider, we shape the digital world together with our customers in a constantly growing market.
Link to the DIH website.
Main tasks
setup CI/CD pipelines for multilanguage microservice based applicationscreate deployment scripts for Kubernetes native applications (via Helm Charts, GitOps)create and maintain cloud-based infrastructures via Infrastructure as Code scriptsensure compliance with security and data privacy requirements via policy as a codesetup Kubernetes based platforms for multi-cloud and on-prem use-casessupport testers with test automation setupcreate monitoring solutions for application and infrastructurecreate releases and deploy them to productionensure applications are provided in zero downtime manneract as 3rd level support in case of incidentsworking in an agile environment with cross-functional teams and DevOps working mode
Background and required skills:
Bachelor or Master’s degree in the following areas: Computer science, Engineering or Information Technology or equivalent work experience in ITExperience with working in Agile environments esp.
Scrum, Kanban and SAFe3+ years of DevOps or Infrastructure Engineering experience experience maintaining and deploying to Kubernetes (managed/unmanaged on cloud, on premises)experience with public clouds (Azure, AWS, Google, OTC)experience with managing Kubernetes clusters eps.
in clouds (AKS, EKS, GKE)development of Kubernetes manifests ideally as Helm Chartsadministration of Kubernetes clusters in multi-cluster, multi-cloud setupgood understanding of networks esp.
in cloud environmentsexperience in distributed cluster monitoring solutionsknowledge of microservices architecture and cloud native designsTools experience:Gitlab CI/CDGitOps Tools e.g.
ArgoCD, FluxCD, FleetMulti-cluster management tools like Rancher (preferred), CAPI, Kubesphere etc.Control Plane solutions for Kubernetes like crossplane (preferred), kcp.io, kro.run etc.CNI plugins for Kubernetes like Cilium, Calico etc.Kubernetes policy as a code tools like Kyverno (preferred), OPAMonitoring tools like Grafana Stack, Prometheus, Loki, Thanos, OpenTelemetry distributions etc.Build and packaging tools like maven, gradle, npm, yarnAny modern IDE (ItelliJ IDEA, VS Code, etc.)Jira, ConfluenceStrong communication skills and excellent written and verbal communication competences in English, German is advantageMotivation to learn and close missing gapsWillingness to travel, nationally/ internationally and able to work with teams locally and globally
