Senior Software Engineer I - Serverless Inference

Position Summary :

We are seeking a Senior Engineer 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.

What You'll Do:

• Design and build scalable, multi-tenant services that power AI inference and intelligent routing workloads.
• Develop and operate high-scale distributed systems with strong reliability, availability, and performance goals.
• 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.

What You'll Add to DigitalOcean:

• 4+ 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
• 1+ 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.

Nice to Have

• 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

This is a hybrid role based out of Bengaluru, India.

JR: 2026-7949

#LI-Hybrid