STN Incorporated
STN Incorporated
STN Incorporated provides managed IT and cloud infrastructure for enterprises and teams building business-critical software, AI systems, and robotics. Its services include private CPU clouds, GPU One AI infrastructure, secure networking and storage, and ongoing cloud operations supported by 24/7 human support and high-uptime service-level agreements. The company also handles cybersecurity operations and incident response, compliance and risk management, backup and recovery, and technology procurement and lifecycle management. STN serves SaaS companies, AI builders and model developers, robotics firms, and regulated organizations including healthcare providers, with infrastructure designed to support audit readiness and frameworks such as SOC 2 Type II and HIPAA.

Senior Autonomous Platform Engineer, Horizon AI

Harden Horizon AI’s autonomous data center platform for reliable production use. Build dispatch, caching, streaming, orchestration, infrastructure as code, and observability.

Apraksts

  • Make the autonomous platform reliable enough to support autonomous actions.
  • Strengthen agent dispatch with circuit breakers, sound retry behavior, health-aware routing, and errors that surface failures.
  • Build a caching layer and event-streaming backbone.
  • Choose and implement an orchestration approach: keep the current setup, move to Kubernetes, or adopt an intermediate option.
  • Introduce infrastructure as code and improve deployment practices.
  • Refactor toward per-session isolation to support safe concurrent agent runs.
  • Set standards for service scaffolding, testing, CI, and platform observability.
  • Take rotating assignments with Systems and SRE teams.
  • Act as technical deputy and make decisions when the Chief Architect is unavailable.

Prasības

  • Bring a substantial record of shipping and hardening complex distributed systems as a hands-on senior engineer.
  • Have practical experience making a rapidly built system dependable in production, including idempotency, circuit breaking, backpressure, and observable degradation.
  • Work across Python and Java.
  • Be comfortable with backend services, data infrastructure, and deployment.
  • Apply sound judgment to orchestration and scaling, grounded in experience operating systems.
  • Production-scale Kubernetes, event streaming, and CI experience are useful but preferred.

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