Senior DevOps / Platform Engineer Kubernetes (m/f)
Summary
A Senior DevOps/Platform Engineer in Zurich (hybrid) builds reliable Kubernetes-based delivery pipelines and scales the infrastructure behind the company's AI models, coaches developers on production monitoring, steers architecture trade-offs, and shares on-call duty. Core stack: Kubernetes, GitOps, SOPS/Vault, Python/TypeScript/JVM.
Location: Zurich (hybrid)Workload: Full-timeStart: By agreementYour tasks:You work with developers to build reliable, scalable delivery pipelines with continuous automated releases.You coach frontend and backend engineers so they can monitor their own code in production.You steer architecture discussions, weighing trade-offs as well as cost and security implications.You manage, monitor and scale the infrastructure - from the clusters the services run on to the hardware behind the models.You maintain thorough documentation of deployments, processes and tooling.You ensure reliability, availability and performance, and you share on-call duty with the team.Your profile:Solid production experience with containers, Kubernetes and GitOps-style deliveryManaging secrets and access as code (SOPS, Vault or similar) with an instinct for least privilegeExperience operating stateful workloads: relational databases, caches and message queues carrying real customer dataA practical view of observability - able to help an engineer debug their own serviceRobust scripting skills plus fluency in Python, TypeScript or a JVM languageAround four years of hands‑on experience running systems you were on call forFluent in German and EnglishNice to have: GPU workloads, model serving performance, regulated environments (data residency, audits, ISO 27001)Applicants must be Swiss, EU or EFTA citizens with a Swiss work permit and have startup experience
Your benefits:
- Eligibility for the company share programme after an initiation period
- Dynamic, innovative environment that values out‑of‑the‑box thinking
- High level of personal responsibility and autonomy, with mistakes treated as learning opportunities
- Collaboration with experienced minds in AI
- Infrastructure that is genuinely yours to shape, including hardware you can walk up to
- Security
- Python
- DevOps