Cloud and AI Engineer

About CHAPTERS Group CHAPTERS Group AG is a Hamburg-based holding company investing in 55+ mission-critical software companies across the DACH region, France, and the Czech Republic. Our companies deliver the digital solutions that keep the public sector and core industries running. What they do matters in daily life. AI has rapidly disrupted the software industry, and we aim to lead that transformation across our portfolio. Central to this is the AI Core team: we build and operate a shared enterprise AI Hub used by companies across the group, and drive adoption through a network of AI Champions. Each portfolio company has one designated power user who leads AI enablement locally, runs training, and scales usage within their organisation. Tasks The Role You are a core member of the AI Core team, owning the infrastructure that powers AI adoption across 55+ portfolio companies. Your focus is the AI Hub platform (Open WebUI): you keep it running, deploy new instances, build and validate integrations at HQ level, and make sure every company in the group gets a stable, well-configured environment. We build the AI Hub as a product and support to ship it in every company. Each company owns their HUB and administers it (L1 Support). You are part of the central team that drives features and changes that are of high value for all hubs in the portfolio. In addition, you are part of the team that serves as the center of expertise (L2 Support) and give guidance and hands-on support when the first level teams need you. What You Will Work On Platform engineering: new integrations, container images, infrastructure-as-code, deployment tooling and security patches. This is the product that every company runs Release qualification: when the upstream project ships a new version, you assess it (one-way database migrations, breaking changes, patch compatibility), validate it on a canary, and publish a qualified release with notes that an L1 can act on Shared infrastructure: Application Gateway, WAF policies, TLS certificates, Redis, DNS and network peering. This layer is shared across every company and cannot be devolved. A mistake here affects all of them Enable the L1 network and be their technical point of contact: write the developer guides, run onboarding and office hours, and build preflight checks and guardrails that make it safe for a platform admin to deploy and operate their own Hub. Integrations Catalog stewardship: versioned artefacts (tools, skills, agents, integrations) each shipped with a user guide for AI Champions and a developer guide for platform admins Fleet observability: reporting and alerting version parity, uptime, cloud spend and deployment status across all companies. Own the eval service: the service itself, the quality of judges and generators, and the methodology platforms use to measure whether their agents do the work Close the loop. Shipping is the beginning. Your designs gather operational signals from the fleet and feed a continuous improvement cycle Requirements What We Are Looking For Required At least 2 years of professional experience in platform engineering, DevOps, SRE, or cloud operations, including ownership of production systems that others depend on Production cloud experience on Azure or AWS Infrastructure as Code in production: Bicep, Terraform, CDK or CloudFormation. We care that you think in IaC. Strong Python skills beyond scripting: you have built and maintained small production services, worked with APIs, and found your way around unfamiliar codebases Comfortable with Linux, Docker, Git and CI/CD as everyday working tools Working knowledge of databases and identity: PostgreSQL in production, and OAuth / SSO / Entra ID concepts AI-native: you use LLMs as tools, understand their operational properties, and have shipped something with them English (fluent): primary working language across the team; German conversational is a plus Bonus Clear technical writing: Enabling others is a real pa