Top Software Engineer Jobs in Seattle, WA

Design, implement, test, debug, and operate highly available backend services at scale. Collaborate across teams to deliver product solutions, manage system availability and scalability, investigate incidents, and apply best practices for operational excellence and cost management.

Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Design and scale foundational APIs and backend services for LogicGate’s multi-tenant GRC platform. Build distributed systems using Java/Kotlin, Spring Boot, AWS, databases, caching, and messaging technologies. Improve reliability, observability, performance, testing, and CI/CD practices. Lead technical design reviews, collaborate cross-functionally, mentor engineers, and use AI coding tools to improve development efficiency.

Design, implement, operate, and scale critical backend services such as identity, social graph, and persistence systems. Collaborate across teams to deliver product solutions, test and debug code, and apply best practices for availability, scalability, security, operational excellence, and cost management. Independently deliver medium-sized features, support incident resolution, and use AI tools responsibly to improve development workflows while maintaining production-quality standards.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Develop backend tools and systems that improve batch development, testing, workflow efficiency, and reliability. Collaborate with product, infrastructure, design, and analytics teams; break projects into deliverable phases; build scalable, well-tested code; monitor metrics; support system availability and on-call operations; debug code; conduct reviews; and contribute to engineering growth and hiring activities.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Build and operate distributed cloud services for Microsoft Dataverse Runtime, enabling secure AI agents, copilots, workflows, and enterprise applications. Responsibilities include architecture, implementation, deployment, monitoring, incident response, reliability improvements, and operational excellence for highly available services. The engineer will partner across Azure, Power Platform, Dynamics 365, and AI teams, contribute to technical decisions, support production systems, use AI-assisted engineering tools, and mentor other engineers.

Design, build, and operate scalable backend services and distributed systems supporting live streaming, content, personalization, analytics, and operational tooling. Responsibilities include API and data modeling, cloud infrastructure, event-driven architectures, observability, CI/CD, performance optimization, reliability, security, and production troubleshooting. Collaborate with mobile, video, data, product, and infrastructure teams to deliver highly available services across Tennis Channel platforms.

Design, build, test, operate, and monitor customer-facing REST APIs and backend services in Go. Lead features from design through production, participate in on-call rotations, conduct postmortems, collaborate across product and engineering teams, review code, and mentor junior engineers and interns. The role focuses on distributed systems, cloud-native architecture, durable workflows, high-scale data management, and secure, well-tested software.

Build and maintain scalable backend messaging services supporting Teams and Copilot. Responsibilities include coding, architecture, testing, debugging, deployment automation, security hardening, telemetry, reliability engineering, incident response, and on-call support. The engineer collaborates with product, security, privacy, data science, and partner teams to deliver globally distributed services with strong performance, resiliency, compliance, and privacy protections.

Build and operate scalable backend and distributed systems for Baseten’s AI inference platform. Responsibilities include telemetry pipelines, observability platforms, billing and commercialization systems, partnership integrations, developer tooling, CI/CD, AI agent infrastructure, testing strategy, reliability improvements, and cross-team technical leadership. The role also involves mentoring engineers, improving developer experience, and partnering across infrastructure, model performance, and product teams.

Build and scale backend services powering an AI scheduling assistant: orchestrate scheduling, email, API and LLM integrations; develop trainer and operations tooling; contribute to architecture and technical direction.

Build and lead development of high-availability backend services for Affirm’s card loan platform. Design scalable APIs, data models, microservices, and event-driven systems supporting real-time loan attribution, approvals, origination, and refunds. Drive technical strategy, troubleshoot complex performance issues, collaborate with cross-functional teams, and mentor engineers while ensuring long-term system robustness and scalability.

Develop backend software with end-to-end SDLC ownership using Java, Node.js, or other backend languages. The role requires experience with SaaS, PaaS, or IaaS environments, public cloud platforms such as AWS, GCP, or Azure, and CI/CD pipelines.

The Backend Software Engineer will design and build infrastructure for evaluating and enhancing OpenAI's support automation, collaborating with teams to develop pipelines and APIs.

Lead backend engineering strategy for Affirm’s search and recommendation platform. Design and launch highly available distributed systems, guide technical architecture and execution, improve team operations and reliability, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on search, recommendations, consumer shopping experiences, monetization, and scalable platform foundations.

Develop and scale backend streaming and data infrastructure using Kafka, Flink, AWS, Kubernetes, and related technologies. Break down projects, deliver tested software, collaborate with product and engineering teams, monitor system availability, participate in on-call support, debug code, conduct code reviews, and contribute to team development.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include database control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and operational support. The role also leads technical delivery, mentors engineers, establishes quality standards, collaborates cross-functionally, and contributes to team roadmap and on-call operations.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.