Senior Engineer II, Serverless Inference

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are seeking a Senior Engineer II to implement and contribute to the design and optimization of our Serverless Inference infrastructure and APIs. In this role, you will tackle the challenges of large-scale AI workloads, focusing on throughput, GPU utilization, and fault tolerance to support next-generation inference needs of AI native enterprises.

• Design and build scalable, multi-tenant services that power AI inference and intelligent routing workloads.

• Strengthen platform resiliency through improved observability, capacity management, automation, and operational tooling.

• Partner closely with platform, GPU infrastructure, and product engineering teams to deliver production-grade systems and highly available APIs.

• Raise the engineering bar through strong software design, operational discipline, incident management, and continuous improvement practices.

• Contribute to architecture decisions around traffic management, service orchestration, reliability, and platform scalability.

• Participate in on-call rotations and lead efforts to reduce operator pain, improve service health, and prevent recurring incidents.

• Provide technical leadership on projects by breaking down ambiguous problems and guiding engineers toward clear execution plans.

• Support the growth of junior and mid-level engineers through coaching, pairing, and constructive feedback.

• Foster a culture of ownership, accountability, and continuous learning across the team.

• Lead by example in incident response, operational readiness, and production-quality engineering practices.

Required

• 7+ years of experience building and operating multi-tenant platforms or distributed backend systems

• Strong experience operating high-scale distributed services in production environments

• Deep understanding of SRE principles, including observability, incident management, reliability engineering, capacity planning, and operational automation

• 1+ years of hands-on experience with Go / Golang in production systems

• 2+ years of experience with Kubernetes

• Strong understanding of cloud-native architectures, microservices, and distributed systems fundamentals

• Experience debugging performance, scalability, and reliability issues in production systems

• Observability Proficiency: Experience tracking infrastructure and inference metrics like Time To First Token (TTFT), Time Per Output Token (TPOT), and GPU utilization.

Bonus

• AI/ML Framework Knowledge: Understanding of modern LLM serving architectures and familiarity with engines like vLLM or Triton.

• Experience with API gateways, traffic routing, or service mesh technologies

• Familiarity with LLM serving stacks such as vLLM, TensorRT-LLM, or similar technologies

• Experience building systems for inference optimization, rate limiting, routing, or workload orchestration

• $167,000 - $209,000

*This is a hybrid role

JR: 2026-8187

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