TechWish
Go Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Staff Go Engineer focused on building Go services for distributed AI control. It offers a long-term remote contract with a pay rate of "unknown." Key skills required include Go, Redis, Kubernetes, and experience with high-scale backend systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sterling, VA
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🧠 - Skills detailed
#API (Application Programming Interface) #Capacity Management #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Kubernetes #Compliance #Redis #REST (Representational State Transfer) #Observability
Role description
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.
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.
