AI Platform Engineer

• 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

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.
• 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
• Experience building internal platforms or tooling used by other engineering teams
• Working in multi-tenant or multi-customer cloud environments
• Contributions to open-source projects, or maintaining a modified version of one in production
• Practical experience with LLM frameworks, agents, MCP or RAG systems in production
• French language skills: a share of our portfolio is in France and growing