We are seeking a Senior Software Engineer to architect the Control Plane for our multi-tenant GPU cloud platform. In this mission-critical role, you will be the bridge between raw infrastructure primitives (provisioning, identity, metering) and reliable, product-grade platform services. You will design the logic that allows telecom partners and AI developers to consume GPU resources at the edge with seamless orchestration.

As a backend specialist with full-stack capabilities, you will build durable workflows in Go and leverage AI-assisted development to deliver user-facing platform interfaces in TypeScript. You will navigate the intersection of distributed systems, working with Kubernetes, CloudStack, and Temporal to manage the entire lifecycle of GPU instances. If you thrive in high-reliability environments and want to build the 'brain' of an international AI cloud, Radian Arc offers a remote-first, scale-up environment where your code directly powers the evolution of edge computing.

• Architect and implement backend platform services and control plane APIs using Go and the Gin framework.
• Develop durable, asynchronous provisioning and lifecycle workflows utilizing Temporal orchestration patterns.
• Integrate core infrastructure systems including CloudStack, Kubernetes, and container runtimes into consumer-facing APIs.
• Build and maintain platform UI components using TypeScript/JavaScript, utilizing AI tools to accelerate frontend iteration.
• Design secure integrations with identity systems (Keycloak), usage metering (OpenMeter), and complex billing engines.
• Model platform state and manage service interactions across distributed components like Kafka, RabbitMQ, and Redis.
• Optimize high-performance data storage and observability using PostgreSQL, MongoDB, and ClickHouse.
• Collaborate with DevOps and Infrastructure engineers to ensure end-to-end reliability and idempotency in orchestration flows.
• Contribute to engineering standards, API quality, and the evolution of service design patterns across the GPUaaS stack.

• Strong professional experience in backend engineering within infrastructure-heavy or cloud-platform environments.
• Expert proficiency in Go and building production-grade service-oriented architectures.
• Solid experience with Distributed Systems and event-driven patterns (Kafka/RabbitMQ).
• Hands-on capability in TypeScript/JavaScript for delivering platform interfaces.
• Proven ability to design durable workflows using orchestration tools like Temporal.
• Deep understanding of Kubernetes APIs, container runtimes (Docker), and cloud infrastructure concepts.
• Experience with state management, idempotency, and failure handling in complex, distributed service interactions.
• Familiarity with identity (Keycloak), metering, or billing systems is a significant advantage.
• Pragmatic mindset with the ability to balance rapid feature delivery with long-term operational quality.
• Excellent communication skills for collaborating across a diverse, international remote team.