Top Engineering Jobs

Design, develop, and maintain software tools and automation for large-scale data center networks. Collaborate with network infrastructure engineers to maintain network automation and monitoring platforms, support scalable network architectures, participate in code reviews, and use AI coding tools for rapid prototyping. The role requires programming experience in Go or Python, Linux familiarity, networking knowledge, and exposure to CI/CD, containers, observability, automation frameworks, and version control.

Design, develop, and maintain software tools and automation for large-scale data center networks. Collaborate with network infrastructure engineers to maintain automation and monitoring platforms, support scalable network architectures, participate in code reviews, and use AI coding tools for rapid prototyping and deployment.

Design and implement high-performance Go services for a distributed cloud control plane. Lead complex technical initiatives, develop gRPC and REST microservices, solve distributed-systems and operational challenges, mentor engineers, improve architecture and workflows, and support production systems through on-call monitoring and incident response.

Design and implement high-performance distributed control plane services and microservices in Go. Lead complex technical initiatives, solve distributed-systems challenges, improve platform resilience, mentor engineers, and support production operations through on-call monitoring and incident response. The role focuses on low-latency, fault-tolerant cloud compute infrastructure using technologies such as gRPC, REST, Kubernetes, and Firecracker.

Design and implement high-performance distributed control plane services and microservices in Go. Lead complex technical initiatives, develop gRPC and REST interfaces, solve distributed-systems and operational challenges, mentor engineers, improve architecture and workflows, and support production systems through on-call monitoring and incident response.

Design and build high-performance distributed control plane services and microservices for cloud compute infrastructure using Go. Lead complex technical initiatives from design through release, develop gRPC and REST interfaces, solve distributed-systems and operational challenges, mentor engineers, improve architecture and workflows, and participate in on-call support and production monitoring.

Build and lead high-performance distributed control plane services for cloud compute infrastructure using Go. Design scalable microservices with gRPC and REST, solve distributed-systems and operational challenges, mentor engineers, lead technical projects, improve architecture and build pipelines, and participate in on-call support and production monitoring.

Own the reference architecture and production operation of rack-scale GPU inference systems. Design NVLink domain allocation, RDMA fabrics, NCCL performance, Kubernetes topology-aware scheduling, multi-node serving, failure recovery, diagnostics, fleet lifecycle, and rack validation. Partner with data center teams, NVIDIA, and ODMs on hardware bringup, cooling, power, and deployment constraints. Set technical direction, mentor engineers, and represent the company in industry and customer engagements.

Own the technical vision and roadmap for DigitalOcean’s unified memory and storage layer supporting large-scale LLM inference. Design multi-tier systems across GPU memory, host memory, NVMe, and remote storage; integrate with vLLM, SGLang, and TensorRT-LLM; define KV-cache transfer, eviction, admission, and routing protocols; optimize performance and unit economics; and lead cross-functional architecture, mentorship, open-source contributions, and customer-facing technical initiatives.

Deploys, maintains, and troubleshoots data center infrastructure, including servers, networking equipment, storage, cabling, power systems, and Linux environments. Responsibilities include hardware repairs, upgrades, inventory and asset management, RMA coordination, incident resolution, operational documentation, performance improvement, project planning, and training junior engineers. The role is fully onsite, includes on-call participation, physical work, driving, and 10–15% domestic and international travel.