Top Senior Software Engineer Jobs in Seattle, WA

Build and maintain large-scale, AI-enabled solutions to automate marketing planning and operations. Design, implement, and test reliable, secure, and scalable systems; apply AI-native engineering practices, telemetry, and feedback to optimize performance and user outcomes. Collaborate with stakeholders to deliver impactful features and promote engineering best practices across the team.

Design, develop, and support reusable components, interactions, frameworks and SDKs for Spectacles AR glasses and SnapOS. Contribute to OS components, participate in code and design reviews, and collaborate with design, engineering, and product teams to launch performant, test-covered features.

Design, implement, and operate critical, highly scalable backend services (identity, friend graph, persistence). Collaborate across teams, ensure availability, scalability, operational excellence, and cost management. Build, test, debug, and participate in incident resolution while leveraging AI tools to accelerate development and maintain secure, production-ready code.

Design, implement, and operate scalable ads delivery backend services. Own serving-time systems, collaborate with Product/ML/Infra, ensure availability and efficiency, use observability and automation, and apply AI-assisted workflows to ship production-quality code and optimize platform architecture.

Build, test, deploy, and operate production-grade AI-powered applications, agents, services, integrations, and workflows. Translate business requirements into scalable technical solutions, use AI-assisted development tools, and apply software engineering practices including testing, CI/CD, observability, documentation, and code reviews. Develop reusable engineering components while addressing security, privacy, compliance, reliability, and Responsible AI requirements.

Lead end-to-end product builds by orchestrating AI coding agents to create applications, automations, and agents. Translate customer needs into deployable solutions, instrument and iterate on outcomes, validate AI outputs for security and quality, engage with customers to find automation opportunities, and document prompts and patterns for the team.

Design, build, and operate high-throughput backend services and scalable APIs for insurance and fintech products. Lead cross-team initiatives across pricing, checkout, booking, and servicing systems. Launch zero-to-one products, iterate post-launch, write maintainable performant code, troubleshoot distributed systems, leverage AI-assisted development tools, and participate in quarterly on-call rotation.

Provides technical leadership for AI Trust and Governance engineering, designing scalable cloud-native services and distributed systems. Responsibilities include architecture, systems programming, concurrency, testing, debugging, deployment, release management, cross-team collaboration, and mentoring engineers. The role requires strong Java or C skills, expertise in distributed systems and consensus algorithms, and ownership of enterprise platform features from design through delivery.

Leads infrastructure platform engineering within an agile team, delivering secure, scalable production software. Provides technical direction, reviews code, drives software development lifecycle governance, and promotes responsible AI-assisted engineering practices. Designs and troubleshoots systems independently while serving as a technical subject matter expert. The role emphasizes cloud-native infrastructure, automation, operational stability, and collaboration with technical teams, contractors, and vendors.

Leads the design, development, and delivery of software-defined networking, network automation, and infrastructure management solutions across multi-cloud environments. Builds APIs, automation frameworks, infrastructure-as-code, and CI/CD pipelines while ensuring reliability, security, scalability, and operational stability. Drives responsible AI-assisted engineering practices, collaborates with cross-functional teams, troubleshoots distributed network systems, evaluates emerging technologies, and mentors engineers.

Design and build high-performance Go backend services, APIs, cloud-native applications, CLI tools, Kubernetes controllers, and operators. Develop gRPC and REST APIs, integrate messaging systems and databases, optimize performance, implement testing and observability, and maintain documentation. Lead code and design reviews, mentor engineers, contribute to shared Go libraries and platform tooling, and deliver reliable distributed systems.

Build and optimize low-latency trading, pricing, risk, market data, backtesting, and analytics systems for fintech applications. Translate quantitative models into production software, develop derivatives pricing and risk engines, implement compliance reporting, and ensure observability and auditability. Collaborate with quants, traders, and risk officers, lead incident response, document systems, review designs and code, and mentor junior engineers.

Build secure, scalable AI integration platforms and backend services connecting enterprise systems, tools, and data sources. Design APIs, distributed systems, authentication and trust boundaries, MCP clients and servers, and agent orchestration workflows. Drive reliability through observability, SLOs, incident readiness, and performance optimization. Shape technical strategy, lead architecture reviews, mentor engineers, and partner cross-functionally to deliver platform capabilities.

Design, build, and operate full‑stack services and customer experiences. Implement frontend and backend code, own service lifecycle (testing, deployment, monitoring, incident response), collaborate with product and design, apply data‑driven prioritization, and safely integrate AI/ML capabilities to improve system reliability and user experience.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Design, build, and operate secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; integrate container runtimes, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, GPU, and security architecture.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.

As a Fullstack Software Engineer, you'll design, develop, and maintain scalable frontend and backend systems while collaborating across teams.

Design, build, and operate highly available, low-latency distributed services for pricing and marketplace infrastructure. Lead end-to-end feature implementation, drive technical direction, improve reliability through observability and automation, collaborate across product and engineering teams, and safely integrate AI/ML-enabled solutions into production.

Own commercial navigation features end to end across mobile, backend, and web surfaces. Build reliable, customer-facing navigation experiences for commercial fleets despite poor connectivity, dynamic schedules, and changing routes. Define product priorities and success metrics, ship maintainable and tested code, improve observability, and collaborate with product, design, Maps, Telematics, and adjacent engineering teams. The role requires strong customer focus, technical depth, and the ability to make practical tradeoffs in ambiguous problem spaces.

Senior frontend-focused software engineer responsible for authentication, verification, and fraud experiences across web, mobile, and backend systems. The role owns team goals, designs and delivers highly available systems, collaborates with product and design partners, improves engineering standards, supports operations and on-call efforts, and mentors engineers. Candidates should have strong web application architecture experience, proficiency with React or Vue and JavaScript or TypeScript, and excellent communication skills.

Design, build, and operate scalable distributed systems for real-time restaurant payment and financial workflows. Responsibilities include architecting reliable services, protecting sensitive financial data, improving observability and production performance, debugging distributed systems, participating in on-call rotations, applying AI-assisted engineering tools, collaborating cross-functionally, and mentoring engineers.

Build responsive Web3 applications, web SDKs, developer tools, reusable frontend components, and internal Customer Success tools. Collaborate with Product, Design, and Engineering to create scalable, accessible user experiences. Contribute to code and design reviews, automated testing, continuous delivery, coding standards, and AI-assisted development practices.