Cloud and AI Engineer

olding 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 runsRelease 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 onShared 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 themEnable 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 adminsFleet 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 workClose the loop. Shipping is the beginning. Your designs gather operational signals from the fleet and feed a continuous improvement cycle 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 onProduction cloud experience on Azure or AWSInfrastructure 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 codebasesComfortable with Linux, Docker, Git and CI/CD as everyday working toolsWorking knowledge of databases and identity: PostgreSQL in production, and OAuth / SSO / Entra ID conceptsAI-native: you use LLMs as tools, understand their operational properties, and have shipped something with themEnglish (fluent): primary working language across the team; German conversational is a plus Bonus Clear technical writing: Enabling others is a real part of this role and good documentation is part of the work rather than an afterthoughtExperience building internal platforms or tooling used by other engineering teamsWorking in multi-tenant or multi-customer cloud environmentsContributions to open-source projects, or maintaining a modified version of one in productionPractical experience with LLM frameworks, agents, MCP or RAG systems in productionFrench language skills: a of our portfolio is in France and growing Benefits What You'll Get A role that shapes the AI backbone for more than 50 software companies across Europe.Become part of CHAPTERS Group, a German serial acquirer with 10x growth in the past five years and high ambitions for what comes nextA small, high-ownership team: decisions get made fast, your work ships to production. You are part of the CTO office with a direct line to the leadership teamDaily work with cutting-edge AI technologies.Space to define how AI gets integrated into operational systems at group scale: early-stage work with lasting impact across 55+ companiesPermanent full-time position, remote-first with the option to join the team in the Cologne officeA clear path to grow with us: we look for ambitious people who want to build a career, not just take a role. We actively invest in your development: talent reviews, events, conferences, etc. How to Apply your CV and answer the following questions, no formal cover letter needed: Why do you find it exciting to work with vertical market software companies?Why are you the right person to drive AI in the CHAPTERS Group? What is your “unfair advantage”? We are looking forward to your application! Find Jobs in Germany on Arbeitnow Skills: Engineering