Were building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
Youll join a small founding team (growing later) where every engineer ships. This is a hands-on architect role in the truest sense: youll own key architectural decisions and write production code 100% of the time, side-by-side with the team.
If you like shaping systems at the whiteboard-to-production level-and you want your decisions to run at scale in real AI datacenters-this is that kind of role.
What Youll Do
Design and build the core of an orchestration platform spanning the full datacenter stack.
Turn real customer needs into crisp system architecture: service boundaries, workflows, APIs, data models, and failure modes.
Implement critical platform components end-to-end: from prototypes and spikes to hardened production services.
Define and evolve platform standards through working code: patterns, libraries, templates, test strategy, CI/CD.
Make pragmatic tradeoffs (performance vs. simplicity, consistency vs. availability) and document the why.
Lead design and code reviews, raising quality while keeping velocity high.
Requirements: 10+ years (or equivalent) building production software, including ownership of architecture/design for non-trivial systems.
Strong backend development skills (preferably Python) and experience building REST and/or GraphQL APIs.
Distributed systems thinking: scalability, resilience, performance, observability, and operational readiness.
Working knowledge of modern web architecture (TypeScript + React preferred) - enough to guide and contribute when needed.
Experience with databases (SQL and/or NoSQL), schema design, and performance considerations.
Familiarity with authentication/authorization patterns (OAuth/JWT, RBAC).
Strong communication, high ownership, and a bias toward shipping.
Nice to Have
Cloud platforms (AWS/GCP/Azure), containers, and Kubernetes.
Observability tooling (OpenTelemetry, Prometheus, Grafana, Datadog, etc.).
Security mindset (OWASP Top 10 awareness and secure coding practices).
Experience with orchestration domains (cluster managers, provisioning pipelines, schedulers).
Familiarity with AI/GPU infrastructure and/or high-performance networking.
This position is open to all candidates.