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Senior Ops Engineer (AI-native) – Nopex Platform

nopex

RemoteGreater Karlsruhe AreaseniorFull-time
Posted
today
Source
LinkedIn (remote, Europe)
Field
Engineering, Operations

Skills

TypeScriptSecurityDevOpsCI/CDLinuxLLMsAI

Description

About The Role Nopex is an AI-agent-native platform for software delivery: teams of specialised AI agents plan, build, test, deploy, and operate software for our customers. For that to work, the platform behind it has to run around the clock. As a Senior Ops Engineer, you own that. You decide how we run, monitor, and roll out, help build our on-call rotation, and you're the one who keeps the overview during a major incident. Lots of ops, a bit of development – and enough experience to fix problems before they wake anyone up at night. AI-native means you work with AI agents every day. They analyse incidents, propose root causes and fixes, and handle the legwork – you review, decide, and sign off. And you help shape how agents take on even more of the operational work. Your responsibilities - Own the reliability, security, and performance of the Nopex platform – for our own systems and our customers' workloads - Build and share on-call: rotation, escalation, runbooks – and lead the response to major incidents - Run postmortems and make sure root causes actually get fixed - Evolve our operations architecture: deployments, backups, disaster recovery, monitoring, and alerting - Shape releases and database migrations so they are safe and reversible - Plan cost and capacity and prepare infrastructure decisions - Automate where it hurts: scripts, pipelines, small tools, and targeted fixes in the code - Push AI agents forward in operations: runbooks for agents, agent-assisted incident analysis, clear limits on what agents may do alone - Onboard and mentor colleagues on the ops team What you bring - 5+ years running production systems – as an ops, SRE, DevOps, or platform engineer - You have carried on-call for a production system and led incidents - Deep experience with containers and container orchestration in production - Confident in Linux, networking (DNS, TLS, load balancers), and security fundamentals - Experience with CI/CD, infrastructure as code, and running databases (backups, restores, migrations) - Enough of a developer to write scripts and make fixes in a TypeScript codebase - You already use AI agents in your ops work – and know where not to trust them blindly - Good German and English Nice to have - Experience with several cloud providers or a move between providers - Observability in depth: metrics, logs, traces, meaningful SLOs - Experience with LLM APIs or agent systems - Experience building an ops team or an on-call rotation from scratch What we offer - Real ownership: you shape how an AI-native platform is run - AI agents as colleagues: they handle analysis and legwork, you make the calls - Small senior team – few meetings, lots of room to shape things, decisions in days - On-call with a clear rotation and compensation - Karlsruhe office – on-site, with the option of home office on some days - Espresso machine and soft drinks at the office - 30 days vacation, top equipment - Conferences & events – we want you connected

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