Job Title: Staff Go Engineer, Distributed AI Control Plane Location: Remote Duration: Long Term What This Person Will Build

• Go services for SLA enforcement, capacity management, compliance routing, identity routing, auth, and billing integration.
• High-concurrency routing and policy logic for customer AI workloads.
• Integrations with Kubernetes capacity APIs, identity-routing systems, Redis, billing systems, and observability systems.
• Redis-backed quota, rate-limit, routing-cache, and failover behavior.
• Tenant-isolation and compliance-enforcement logic that works under real load.
• Failure-mode tests for degraded dependencies, Redis failover, and inconsistent capacity state.

Must-Have Background

• Staff-level Go experience in distributed systems, infrastructure platforms, API gateways, control planes, or high-scale backend systems.
• Strong concurrency, caching, failover, latency, and partial-failure design skills.
• Experience with Redis, gRPC, REST, service architecture, and production observability.
• Understanding of multi-tenant systems, policy enforcement, identity-aware routing, or quota/rate-limit platforms.
• Ability to translate compliance and business rules into deterministic runtime behavior.

Nice to Have

• Experience with AI infrastructure, inference platforms, API gateways, network policy, billing metering, Kubernetes, service mesh, or edge routing.