Top Engineering Jobs in Seattle, WA

Design, implement, maintain, and troubleshoot large-scale global backbone and data center networks. Automate network provisioning and compliance using Python, Golang, and Salt; develop scalable routing and connectivity solutions; conduct capacity planning; optimize performance and availability; lead architecture reviews, maintenance windows, incident response, and network deployments; and provide technical guidance and documentation.

Develop and maintain scalable control-plane software for DigitalOcean’s network products, including APIs, services, and tools. Responsibilities include implementing, testing, optimizing, and supporting reliable distributed systems; collaborating across networking teams; improving developer and customer experiences; establishing engineering best practices; and contributing to architecture, monitoring, performance, and mission-critical platform reliability.

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.

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.

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.

Design, implement, test, and optimize scalable control-plane and data-plane services for cloud networking products. Build APIs, distributed systems, monitoring tools, and performance improvements while supporting existing products. Establish engineering best practices, improve reliability and delivery processes, collaborate across teams, and mentor engineers. The role requires strong Go development, networking expertise, cloud and containerization experience, and familiarity with technologies including eBPF, XDP, gRPC, Kafka, and Kubernetes.

Develop and optimize high-performance network datapath software for cloud infrastructure. Build packet processing, routing, forwarding, load balancing, observability, and hardware-accelerated networking across Linux hosts, kernels, user space, NICs, DPUs, and SmartNICs. Diagnose production performance issues, create testing and benchmarking frameworks, author technical designs, collaborate across infrastructure teams, and mentor engineers.

Design and build software for global network automation, orchestration, provisioning, device lifecycle management, telemetry, validation, and automated remediation. Integrate DPUs, SmartNICs, and programmable network infrastructure into scalable cloud systems. Establish architecture and technical direction, write RFCs and design proposals, lead complex initiatives from concept through operation, mentor engineers, and collaborate across network, infrastructure, hardware, compute, storage, and security teams.

Design and build scalable Go-based distributed control plane microservices for cloud compute infrastructure. Develop gRPC interfaces, optimize Linux kernel and virtualization systems, and improve performance, reliability, observability, failover, and recovery. Lead complex cross-functional technical projects, mentor engineers, conduct architectural reviews, support production systems through on-call rotations, and drive continuous improvements across the Compute ecosystem.