About the Role

We’re looking for a Staff/Senior Software Engineer to technically lead and build [Employer hidden]’s serverless platform. You’ll be part of a small team working closely with senior leadership to bring a new product line to market.

[Employer hidden] is evolving beyond model APIs into a platform where developers can deploy models and run AI workloads without managing GPUs, servers or infrastructure. You’ll build the software layer that connects our proprietary high-performance sonic inference engine and turns complex infrastructure into a compelling developer experience.

This is a role for someone who enjoys technical leadership, hard platform problems and clean, simple systems. Your work will help enterprises, model labs and developers move from idea to production faster, then scale without needing to build and operate the infrastructure themselves.

What You’ll Do

• Build the core systems behind [Employer hidden]’s serverless platform, including workload execution, routing, scheduling, isolation and scaling leveraging our inference engine
• Make it simple for developers to deploy models and run AI workloads without managing GPUs, servers, queues or infrastructure through a simple SDK interface
• Design and improve the control plane for serverless execution, including APIs, workers, lifecycle management, retries and failure handling
• Work closely with our infrastructure and ML teams to improve workload startup time, GPU utilisation, model warm-up, caching and placement
• Build observability that makes serverless workloads easy to monitor, debug and operate at scale globally
• Lead the technical design, mentor other engineers and help define the engineering standards for a new product area

Requirements

• Strong experience as a Staff Engineer, Senior Software Engineer, Backend Engineer, Platform Engineer or similar
• Experience building backend services, distributed systems, developer platforms or workload orchestration systems
• Strong understanding of async processing, queues, scheduling, retries, back pressure and failure handling
• Comfortable working across APIs, control planes, workers, databases and observability systems
• Strong engineering fundamentals in one or more backend languages such as Python, Go or similar
• Good judgement around trade-offs between reliability, latency, scale, cost and developer experience
• Clear communication, strong ownership and the ability to lead technical direction in a fast-moving environment

Nice to Have

• Experience building serverless platforms, job execution systems, container platforms or compute orchestration systems
• Experience with GPU-backed workloads, AI/ML inference, model serving, batch processing or high-performance compute
• Familiarity with technologies such as vLLM, TensorRT, Triton, Kubernetes, Nomad or Knative
• Experience improving workload performance through batching, autoscaling, model warm-up, caching, request routing or queue management
• Experience with multi-tenant isolation, sandboxing, quotas, rate limits, resource accounting or usage-based billing

Benefits

• Generous paid time off – vacation, sick days, public holidays
• Meaningful stock options – share in the upside you create
• Remote-first setup – work from home anywhere we can employ you
• Flexible hours – own your schedule outside core collaboration blocks
• Family leave – paid maternity, paternity, and caregiver time
• Company retreats – twice-yearly gatherings in inspiring locations