Autonomous Platform – Horizon AI

Job not on LinkedIn

🔥 24 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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Logo of STN Incorporated

STN Incorporated

11 - 50 employees

Founded 2016

🏢 Enterprise

🔒 Cybersecurity

🔧 Hardware

Enterprise • Cybersecurity • Hardware

STN Incorporated is an enterprise-grade managed IT and cloud infrastructure provider that delivers secure, audit-ready infrastructure for business-critical systems and demanding AI workloads. STN operates a managed operating model offering private CPU clouds, GPU One AI infrastructure, secure networking and storage, and 24/7 human support with high uptime SLAs. Their services include managed infrastructure and cloud operations, cybersecurity operations and incident response, compliance and risk management (SOC 2 Type II, HIPAA-ready), backup and recovery, and enterprise technology procurement and lifecycle management. STN serves enterprises, high-growth SaaS companies, AI builders and model developers, robotics/physical AI firms, and regulated industries such as healthcare.

📋 Description

• Make the autonomous platform dependable enough to trust with autonomous action • Harden agent dispatch with circuit breakers, correct retry semantics, health-aware routing, and failure-surfacing error handling • Add a caching layer and event-streaming backbone • Decide whether to remain as-is, move to Kubernetes, or adopt an intermediate orchestration approach, then execute the decision • Introduce infrastructure as code and mature deployment practices • Refactor toward per-session isolation so concurrent agent runs are safe • Own service scaffolding standards, testing strategy, CI, and platform observability • Rotate through Systems and SRE embeds • Serve as technical deputy and make decisions when the Chief Architect is unavailable

🎯 Requirements

• A long record of shipping and hardening complex distributed systems as a hands-on engineer at senior level • Real experience taking a fast-built system to production dependability, including idempotency, circuit breaking, backpressure, and observable degradation • Range across Python and Java • Comfort in backend services, data infrastructure, and deployment • Judgment about orchestration and scaling grounded in operating systems • Kubernetes at production scale, event streaming, and CI at scale are nice to have

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