Staff Software Engineer - Serverless

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

Runware 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 Runware’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 ideally Go

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

We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.

We move quickly and hold a high bar, but we also believe sustainable performance matters. After major releases and milestones, we create space for the team to properly unplug, recharge and come back with the energy to tackle what's next.