Job
- Level
- Experienced
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you operate the AI Hub platform, develop integrations, manage the lifecycle of updates, and support L1 teams as a technical contact with resources and documentation on cloud infrastructure.
Job Technologies
Your role in the team
- 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 provide guidance and hands-on support when the first level teams need you.
- Platform engineering: new integrations, container images, infrastructure-as-code, deployment tooling and security patches.
- 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.
- 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.
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Our expectations of you
Qualifications
- Infrastructure as Code in production: Bicep, Terraform, CDK or CloudFormation.
- 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.
- Clear technical writing: Enabling others is a real part of this role and good documentation is part of the work rather than an afterthought.
- Arbeiten in Multi-Tenant- oder Multi-Kunden-Cloud-Umgebungen.
- Contributions to open-source projects, or maintaining a modified version of one in production.
- French language skills: a share of our portfolio is in France and growing.
Experience
- 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.
- Experience building internal platforms or tooling used by other engineering teams.
- Practical experience with LLM frameworks, agents, MCP or RAG systems in production.
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What we offer
- 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 next.
- A 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 team.
- Tägliche Arbeit mit modernsten KI-Technologien.
- Space to define how AI gets integrated into operational business systems at group scale: early-stage work with lasting impact across 55+ companies.
- Permanent full-time position, remote-first with the option to join the team in the Cologne office.
- A 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.
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Topics You Will Work On
Job Locations
About Your Employer
Chapters Group Ag
CHAPTERS Group AG, based in Hamburg, is a publicly traded holding company that focuses on the development and management of software companies. Since its founding in 2018, it has specialized in mission-critical software solutions for various industries and has established itself as a reputable firm.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Cloud and AI Engineer
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
