Platform Engineer

Beschreibung

Job Zusammenfassung In diesem Job entwickelst du die Infrastruktur für unsere KI-Agenten, baust zuverlässige Systeme für Concurrency und Fehlerhandhabung und verantwortest den gesamten Deployment-Prozess von CI/CD bis zur Produktion. Job Zusammenfassung In diesem Job entwickelst du die Infrastruktur für unsere KI-Agenten, baust zuverlässige Systeme für Concurrency und Fehlerhandhabung und verantwortest den gesamten Deployment-Prozess von CI/CD bis zur Produktion. Deine Rolle im Team You will build the infrastructure that our AI agents run on. We've made pragmatic early tooling choices for speed, and as we scale, some will hold and some won't. We need someone who understands the distributed systems principles underneath modern tooling, and can make the right call on when to keep things simple and when to reach for something heavier. This is a foundational role, and you'll design the systems the rest of the team builds on. Build and operate the runtime infrastructure that powers our AI agents in production, the systems that customers depend on. Design for concurrency and failure, including queuing, retries, backpressure, and idempotency, so agent workflows stay reliable under real-world load. Own production reliability: latency budgets, error budgets, capacity planning, and incident response. Instrument the stack with tracing, structured logging, and alerting so problems surface before users notice them. Own the deployment pipeline end-to-end: CI/CD, preview and staging environments, and the path from local dev to production. Build internal tooling and abstractions that let the product team ship faster without worrying about infrastructure. Unsere Erwartungen an dich Qualifikationen Understand distributed systems deeply enough to know what managed platforms are doing under the hood, and where their abstractions will break. Prefer to automate yourself out of toil rather than accept it. Want to lay the foundation at a company where infrastructure decisions directly shape the product. Strong understanding of distributed systems: concurrency, eventual consistency, event-driven architectures, and failure modes. You have the mental models even if you've implemented them with modern serverless tools rather than raw AWS primitives. Familiarity with workflow orchestration tools like Inngest, Temporal, or Step Functions, and the queueing and retry semantics underneath them. Strong observability practice, ideally Datadog, including distributed tracing, custom metrics, and SLO-based alerting. Enough AWS fluency (ECS, Lambda, SQS, IAM) to know what you'd reach for when the managed tools hit their limits. High-agency mindset and comfort operating independently in a fast-changing environment. Erfahrung Have experience owning infrastructure end-to-end at a startup, where you picked the tools and lived with the consequences. Care about developer experience: deployment pipelines, local dev setups, error messages, and the small things that compound into engineering velocity. Experience with CI/CD design: multi-environment pipelines, automated testing gates, preview deployments, infrastructure-as-code. Hands-on experience with platforms like Vercel, and an honest sense of where they scale and where they don't. MongoDB experience: schema design tradeoffs, indexing strategy, and performance tuning as data and query patterns evolve. Unser Angebot Berlin Office preferred, but open for hybrid setups. Annual offsite (last year we took the team for 4 weeks to San Francisco). Start: As soon as possible. Top-of-market compensation and meaningful early equity. Direct access to real users and fast feedback loops. A highly experienced team with full trust and autonomy. The opportunity to shape the foundations of a company and product from day one. A mission that matters: building intelligent systems to power the future of global trade. Themen mit denen du dich im Job beschäftigst Cloud Computing Automation AI Metadaten Level: Erfahren Job Feld: IT, DevOps, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Startup Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

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