Top Staff Software Engineer Jobs in Seattle, WA

As a Staff Software Engineer on the Inference team, you'll lead architecture and optimization for Kubernetes-native AI workloads, enhancing performance and reliability across services.

Own technical strategy and architectural decisions across multiple engineering squads. Design scalable distributed systems, APIs, data models, and cloud-native platforms while building shared systems that improve delivery. Partner with product and engineering leadership, resolve ambiguous technical challenges, establish AI-assisted development practices, and mentor engineers through design reviews and cross-team collaboration. The role requires full-stack expertise and strong influence, communication, and technical leadership in a high-stakes B2B SaaS environment.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial services, routing and map-matching foundations, and reusable APIs. Scale storage, queries, and computation for real-time products, consolidate fragmented geospatial solutions, develop customer self-service capabilities, and provide mentorship through code reviews and design leadership. Collaborate across teams and represent Samsara in the mapping and geospatial community.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

Take end-to-end ownership of a Kubernetes-based, multi-region data platform: architect for high availability and low latency, scale infrastructure, optimize CI/CD, implement observability and IaC, enforce cloud-native security, lead incident response, and ensure production readiness and capacity planning.

Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.

Lead design and evolution of SentiLink's data platform for fraud detection. Architect scalable batch and streaming pipelines, improve reliability, performance, and observability, set engineering standards, mentor engineers, drive cross-team technical initiatives, participate in production support/on-call, and evaluate build-vs-buy and emerging technologies.

Design, implement, and operate highly available backend services for Snap's growth notification platform across multiple channels. Own end-to-end architecture, lead multi-quarter technical roadmaps, drive large cross-functional projects, and ensure reliability, observability, cost efficiency, and incident response. Integrate upstream signals and downstream use cases, apply distributed-systems best practices, and mentor engineers to improve team effectiveness.

Lead front-end technical strategy for Coinbase Advanced trading platform: define and execute a scalable roadmap, deliver a low-latency interface across web and mobile, mentor engineers, anchor complex projects, and ensure high standards for code quality and system design.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.

Lead technical strategy for Solana staking at Coinbase, optimizing validator performance and driving cross-product integration while mentoring engineers.

Design and implement AI systems for customer support and compliance, architect solutions, mentor team members, and manage project deliverables.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.

The Staff Software Engineer leads the Developer Experience team, driving technical strategies and addressing complex developer productivity challenges at CoreWeave, focusing on building robust developer platforms and enhancing engineering processes.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

Build scalable distributed systems for Rula’s Marketplace Health Engine, improving provider utilization, marketplace efficiency, and patient access. Partner with Engineering, Product, Data, and Operations; lead technical strategy across teams; design backend services, APIs, and data-intensive systems; drive projects from discovery through post-launch support; solve complex marketplace problems; mentor engineers; and remain hands-on in software development.

Senior individual-contributor full-stack engineer who designs, builds, and ships end-to-end product features. Leads technical direction, modernizes legacy systems, debugs distributed systems, owns production reliability and on-call, and mentors engineers. Drives AI-native development adoption while collaborating with Product and Design and improving team practices, observability, testing, and deployment workflows.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

Build trusted software systems for datacenter lifecycle management, including sites, designs, equipment, bills of materials, and construction progress. Partner closely with datacenter, energy, and supply chain teams to model workflows, reconcile legacy data, integrate industry tools, and deliver permissioned, auditable systems. The role requires strong full-stack engineering, data modeling, API, and database expertise, along with user-centric zero-to-one product development in physical-world industries.

Lead the design of distributed systems, drive large initiatives, and enhance technical architecture at Whatnot, fostering rapid growth and stability.

Own architecture and technical direction for Headway's Journey communications platform: design the decision engine, experimentation layer, channel orchestration, unified message ledger, and productionize LLM-powered personalization across multi-vendor delivery systems to improve patient and provider engagement.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

Own and build Headways experimentation platform: assignment, exposure, identity resolution, feature flags, and data pipelines. Drive technical direction, reliability, and company-wide experimentation practices, integrate AI for diagnostics, and enable market-level tests across teams.