DevOps Engineer (f/m/d)

When it comes to keeping millions of passengers and thousands of trains moving in the future, digital solutions are just as essential as physical infrastructure. That is why we need the very best IT experts. We already have more than 10,000 on board, but that is still not enough. Whether you are a project manager, consultant, developer, or IT architect, there has never been a more exciting time to join us. As part of a strong team, you will help deliver pioneering solutions and large-scale projects that are shaping the future of mobility, infrastructure, and logistics. As a DevOps Engineer (f/m/d) in Team IPS, you will play a key role in building, automating, operating, and securing the cloud infrastructure and delivery processes behind the AI Service GenAI Data Connect. GenAI Data Connect (GAIDC) is a central AI platform operated by DB Systel that makes Deutsche Bahn data available for generative AI applications. The service links state-of-the-art language models with internal documents and knowledge sources, enabling the generation of reliable, context-sensitive responses based on DB data. Working at the intersection of cloud engineering, platform operations, and AI technologies, you will help ensure reliability, scalability, observability, and compliance across a modern enterprise AI platform. We are looking for you to join us as a DevOps Engineer (f/m/d) at the earliest possible date for DB Systel GmbH, based in Berlin, Erfurt, or Frankfurt am Main. Deine Aufgaben: - Design, provision, and operate cloud infrastructure for GAIDC on Microsoft Azure - Take ownership of Azure resources, including storage accounts, databases, networking components, container platforms, identity services, and monitoring solutions - Develop and maintain Infrastructure as Code (IaC) using technologies such as Bicep, Terraform, and related automation frameworks - Build, optimize, and support GitLab CI / CD pipelines for infrastructure deployments, platform services, and release automation - Ensure secure cloud operations through robust RBAC concepts, encryption, secrets management, and enterprise-grade network security controls - Operate and continuously improve containerized workloads while supporting troubleshooting, incident response, root-cause analysis, and performance optimization - Drive observability initiatives by enhancing logging, metrics, tracing, alerting, and dashboards using OpenTelemetry, Azure Monitor, Grafana, and Prometheus - Collaborate closely with AI engineers, software developers, architects, and platform teams to shape a reliable and future-ready AI platform Dein Profil: - A degree in Computer Science, Business Informatics, Engineering, or a comparable discipline; alternatively, completed IT-related vocational training combined with relevant professional experience - 4+ years of hands-on experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), or cloud infrastructure environments - Proven expertise with Microsoft Azure and / or AWS, including strong practical knowledge of Infrastructure as Code, ideally with Bicep and Terraform - Solid experience working with GitLab, GitLab CI / CD, Linux, Bash, Python, Docker, Kubernetes, Azure Container Apps, and Azure Web Apps - A strong understanding of cloud security principles, including RBAC, encryption, secure networking, identity management, and secrets handling - Hands-on experience with modern monitoring and observability solutions such as OpenTelemetry, Azure Monitor, Grafana, and Prometheus - Familiarity with AI and data platform technologies, including Azure OpenAI, Azure AI Search, Azure AI Foundry, AWS Bedrock, relational and NoSQL databases, and vector database concepts - Excellent analytical and problem-solving skills, a collaborative DevOps mindset, and experience working in Agile environments using Scrum or Kanban, combined with fluent English communication skills You are passionate about building reliable, scalable, and secure platforms. You thrive in collaborative environments, enjoy automating complex processes, and are motivated by continuously improving cloud-native platforms that empower engineering and AI teams to innovate at scale. Das ist uns wichtig: Unser Anspruch ist es, allen Kandidat:innen bei gleicher Eignung die gleichen Chancen für den Einstieg bei uns zu bieten. Wir fördern aktiv die Vielfalt und das Miteinander in unseren Teams. Wir schätzen jede Bewerbung, unabhängig von Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung, Alter, Dauer der Arbeitslosigkeit sowie sexueller Orientierung und Identität. Chancengleichheit und selbstbestimmte Teilhabe Schwerbehinderter und Gleichgestellter sowie eine respektvolle Zusammenarbeit sind innerhalb des DB Konzerns fest verankerte Grundsätze. Deshalb werden schwerbehinderte und gleichgestellte Bewerber:innen bei gleicher Eignung bevorzugt berücksichtigt.