Senior AI Platform Engineer (m/f/d)

Vectoryx USA Inc.; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Vectoryx USA Inc. is building an AI-native claims operation. We are seeking a backend/platform/DevOps engineer to own the infrastructure that powers our live agentic pipeline, on Kubernetes, with fast release processes, canary deployments, and robust security.

You will implement CI/CD pipelines, infrastructure-as-code, and a scalable data layer while maintaining strong observability for a GDPR-heavy domain. This role demands ownership mindset and high autonomy in a small team.

Qualifikationen

• 3+ years in backend/platform/DevOps engineering.
• Hands-on production services on Kubernetes.
• Own end-to-end release process and Git workflows.
• Strong Python skills; cloud infrastructure experience.
• Docker, CI/CD familiarity.
• Solid database depth; diagnose slow queries.
• Reliability, observability and security focus.
• Platform ownership in a small, autonomous team.

Aufgaben

• Own the platform infrastructure for automated claims operations.
• Develop Kubernetes-based production runtime with scalability and resilience.
• Define and manage release processes, feature flags, and safe rollouts.
• Build CI/CD pipelines and infrastructure-as-code for fast delivery.
• Design data layer for scalable persistence.
• Improve observability with tracing, logging, metrics.
• Ensure security and data protection in GDPR-heavy domain.
• Operate as platform owner in a small autonomous team.

Kenntnisse

Kubernetes

Python

Docker

CI/CD

Git

Observability

Security

Cloud infra

Tools

FastAPI

LangChain

Argo

Jobbeschreibung

We're building an AI-native claims operation. The models can already do remarkable work — what makes them reliable enough to hand real operational decisions to is the platform around them. That platform is what you'll own. We're an agile, senior team automating a complex, communication-heavy insurance operation, starting with residential property claims. Our agents run live cases today. Your job is to make the infrastructure they run on fast, observable, secure and boringly reliable — and to build it on solid, portable foundations rather than locking us into any one vendor.

• The Python services that orchestrate our agentic pipeline (eg. FastAPI, LangChain), and the platform they run on
• Our production runtime on Kubernetes — deployment, scaling, resilience, and keeping services healthy under real load
• Release management — a proper branching and release strategy in Git, environment promotion, semantic versioning, and safe rollouts: canary/progressive delivery, feature flags, and clean rollback when something's wrong
• CI/CD pipelines and infrastructure-as-code — fast, safe, repeatable delivery from commit to production
• The async processing backbone — queued, scheduled and event-driven claim handling
• The data layer — choosing and running the right persistence and building it to scale, not inheriting whatever's easiest
• Observability and ops: tracing, logging, metrics, alerting
• Security and data protection — how we handle and isolate sensitive claim data in a GDPR-heavy domain

Your profile

• Have 3+ years in backend/platform/DevOps engineering, and think in systems, not just features
• Have real, hands-on experience building and operating production services on Kubernetes
• Have own a release process end to end — you know how to structure Git for a team, promote code across environments safely, and ship to production frequently
• Are strong in Python and comfortable owning cloud infrastructure end to end — cloud-agnostic by instinct, wary of lock-in, fluent in the primitives rather than any one provider's product catalogue
• Live in Docker, CI/CD
• Have solid database depth — you've diagnosed a slow query under load and fixed the root cause, and you can pick and run the right datastore
• Treat reliability, observability and security as first-class concerns
• Are comfortable being the platform owner in a small team — high autonomy, high ownership

Nice to have

• Experience with LLM-serving infrastructure, queues, or agentic/async workloads
• GitOps / progressive-delivery tooling (Argo, Flux, or similar)
• Insurance, fintech, or another regulated domain; German (helpful, not required — we work in English)