Top Engineering Jobs

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.

Design, implement, and operate scalable managed database platform systems across distributed control planes and infrastructure. Lead architecture and cross-team technical projects, improve performance, resiliency, failover, backups, and recovery, and support multi-region workloads. Mentor engineers, conduct design and code reviews, establish observability practices, participate in on-call rotations, and turn production incidents into lasting improvements.

Architects and implements scalable managed database control-plane and infrastructure systems. Owns performance, resiliency, failover, backups, recovery, observability, and production operations for PostgreSQL and MySQL services. Translates ambiguous requirements into technical architecture, leads cross-team projects, mentors engineers, reviews designs and code, and improves systems supporting high-concurrency, data-intensive, and AI-adjacent workloads.

Architect and implement scalable Managed Database control-plane and infrastructure systems. Improve performance, resiliency, failover, backups, recovery, observability, and multi-region operations for PostgreSQL and MySQL workloads. Lead complex cross-team technical initiatives, translate ambiguous requirements into architecture, operate production services, participate in on-call, and mentor engineers through technical guidance, design reviews, and code reviews.

Designs and operates scalable Managed Database control-plane and infrastructure systems for PostgreSQL and MySQL workloads. Responsibilities include architecture, implementation, performance optimization, resiliency, automated failover, backups, point-in-time recovery, observability, and production on-call support. Leads cross-team technical projects, translates ambiguous requirements into designs, mentors engineers, conducts reviews, and improves reliability for high-concurrency, data-intensive, and AI-adjacent cloud workloads.

Designs and operates scalable managed database infrastructure and distributed control-plane systems. The role owns architecture, performance, resiliency, automated failover, backups, recovery, observability, and production reliability for PostgreSQL and MySQL services. It also leads complex cross-team technical initiatives, mentors engineers, participates in on-call rotations, and supports high-concurrency data and AI-adjacent workloads.

Lead the design, deployment, monitoring, and troubleshooting of cooling infrastructure for high-density data centers. Serve as the cooling subject matter expert, support power engineering, establish facility standards, guide air and liquid cooling designs, select scalable liquid-cooling systems, and develop thermal monitoring and alerting capabilities. The role also involves managing and developing an engineering team, collaborating with colocation and hardware vendors, coordinating with operations, and improving system reliability.