Engineer

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 Staff 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.
• 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.

What You'll Bring:

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