Top Software Engineer Jobs in Seattle, WA

Develop and maintain real-time aircraft and ground systems software for airborne command-and-control platforms. Design, code, test, and integrate software components, define interfaces and use cases, participate in peer reviews, and support Agile teams. Provide technical leadership, documentation, and problem resolution while collaborating with customers and multi-program teams.

As a Software Engineer, you will design, develop, and deploy a reliable financial platform, focusing on performance and security while collaborating with teams to ensure high-quality code and infrastructure.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

Build and maintain full‑stack, customer‑facing web experiences that improve borrower conversion. Deliver end‑to‑end features (frontend, APIs, microservices), monitor performance and reliability, partner with Product/Design/ML, run experimentation and personalization, and contribute to platform architecture and on‑call health.

Build end-to-end fullstack features for a mental healthcare platform: design APIs and UIs, manage clinical and practice-management systems, integrate AI capabilities, and own product outcomes from schema to frontend.

Design and build reliable backend services powering clinical data, insurance billing, patient-facing infrastructure, and financial ledger systems. Scale high-integrity systems requiring idempotency, strong consistency, and pragmatic AI integration to automate provider workflows and enable personalized patient experiences.

Build, operate, and scale backend systems for card issuing and transaction processing. Break down projects, collaborate with product and cross-functional teams, write tested extensible code, support monitoring and on-call operations, and participate in team growth activities including interviews.

Design, develop, and operate a greenfield, cloud-native full‑stack platform for ingesting, streaming, processing, and visualizing high-volume sensor and time-series data. Build frontend and backend features, APIs and streaming pipelines, integrate with DAQ hardware, support CI/CD, observability, databases, and mentor team members while collaborating with stakeholders to define roadmap and deliver production-ready systems.

Design, implement, and maintain real-time data acquisition and processing systems for high-throughput sensor and time-series data. Develop native and web/CLI applications, interfaces to DAQ hardware, streaming APIs, visualization tools, and CI/CD/infrastructure. Provide technical leadership, engage stakeholders, and own features from prototype to production.

Design, develop, test, and maintain production-grade computer vision and non-embedded software. Translate requirements into architecture, implement CI/CD on cloud, debug, document designs, advise on processes, and manage supplier and project activities to meet industry and safety standards.

The Staff Backend Software Engineer will design and improve scalable backend systems for Dropbox's Commerce Platform, ensuring system reliability and data consistency while influencing technical strategy and collaborating with cross-functional teams.

Design, develop, test, deploy, maintain, and debug software solutions. Create technical designs and documentation, propose solutions for complex business needs, and support release and integration activities while following SDLC and risk management practices.

Develop and implement cloud-based microservices for supply chain workflows. Ensure scalability, reliability, and performance of backend services, while collaborating across engineering teams and establishing API contracts.

Develop and maintain cloud-based web applications using modern technologies, collaborate with teams, and ensure secure software delivery processes.

Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.

As a Software Engineer at Vercel, you will enhance and improve the CDN's performance, analyze web latency, and support a team of developers working primarily in Lua.

As a Software Engineer on the CDN Security team, you will analyze traffic, build a scalable firewall, and enhance web security for customer websites.

Design and re-architect the Identity systems at Dropbox to support multi-product capabilities, mentor junior engineers, and ensure software excellence.

Provide IT engineering support for law firm clients: manage case and document management systems, lead data migrations, build integrations and workflow automations, implement AI/RAG solutions, maintain cloud infrastructure (AWS), and deliver custom internal tools and scripting to improve legal workflows and productivity.

The Software Engineer will enhance developer experience at Benchling by building production release tooling, improve workflows, and collaborate with teams to scale processes. Responsibilities include developing efficient development tools and championing engineering patterns.

Backend engineer building data-heavy, distributed streaming platforms. Design and operate resilient, high-throughput low-latency pipelines using JVM languages and streaming systems. Deploy and run services across cloud providers, use cloud primitives and infrastructure-as-code, and take ownership of delivery while collaborating with cross-functional teams.

As a Senior Software Engineer, you'll develop scalable distributed systems for Chewy's Sponsored Ads platform, mentor engineers, and enhance engineering excellence.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Lead the design and implementation of backend services for data cataloging and ML training systems, focusing on performance and scalability.

Design, build, and operate backend services for data-heavy, distributed systems. Work with JVM languages, event streaming (Kafka/Kinesis/Flink/SQS), and multi-cloud infrastructure to deliver resilient, high-throughput, low-latency data pipelines. Own features end-to-end, write high-quality code, and collaborate across teams to drive delivery and platform improvements.