Top Software Engineer Jobs in Seattle, WA

Develops, secures, tests, deploys, and supports large-scale cloud services for mission-critical environments. Responsibilities include writing and reviewing code, designing reliable and scalable solutions, implementing security controls, automating deployments, monitoring live-site services, troubleshooting incidents, improving telemetry, and participating in on-call operations. Collaborates with product, security, and engineering teams to meet customer, privacy, compliance, performance, and reliability requirements.

Develops, tests, deploys, and operates Azure Data product features in highly secured, air-gapped environments. Responsibilities include coding, architecture collaboration, automated testing, incident response, deployment automation, security hardening, telemetry, reliability improvements, and on-call support. The engineer works with partner teams to meet performance, scalability, privacy, compliance, and government customer requirements while using AI tools throughout the software development lifecycle.

Build and scale backend platforms, orchestration systems, and user-facing capabilities powering Microsoft 365 Copilot. Collaborate with applied scientists and engineers to deliver scalable AI features, define architectures, create implementation plans, ensure robust testing, and improve engineering practices. Work spans enterprise-scale AI infrastructure, multimodal and agentic interactions, model capabilities, and production-ready intelligent systems.

Develop and operate scalable data platform capabilities, including data warehouses and pipelines processing more than 200 billion daily events. Improve reliability, flexibility, and scalability; collaborate on distributed systems architecture; contribute to peer reviews; and enhance engineering workflows with AI tooling. The role requires software engineering fundamentals in scalability, concurrency, API design, data modeling, and distributed systems.

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Develop and improve Temporal Proxy, an extensible open-source solution for Temporal Cloud and customers. Implement request handling, configuration, authentication and authorization integrations, encryption hooks, observability, testing, documentation, and production debugging. Collaborate with security, infrastructure, server, and engineering teams to deliver reliable proxy capabilities and improve developer experience.

Build and operate production software, APIs, tooling, and automation for large-scale GPU, bare-metal, and HPC infrastructure. Responsibilities include provisioning, configuration, monitoring, lifecycle management, observability, hardware integration, reliability improvements, and infrastructure capacity deployment. The role partners with networking, data center, platform, and infrastructure teams to design scalable systems and define technical direction.

Design and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.

Build and maintain large-scale data ingestion platforms, pipelines, integrations, and monitoring tools for Redfin’s real-estate inventory data. Develop applications using relational and non-relational databases, spatial data, Kafka, Java, Python, Kubernetes, Jenkins, Airflow, and AWS. The role involves architecture, technical leadership, mentoring, data quality improvements, production support, and possible on-call participation.

Develop simulation software and infrastructure for autonomous satellite servicing missions. Responsibilities include building cloud infrastructure, automating simulation analysis, testing autonomous software in simulated space environments, and supporting integrations with satellite compute hardware.

Build and maintain high-availability, high-throughput web-scale data systems supporting public safety and crime analytics. The role involves backend development, architecture and code reviews, end-to-end feature ownership, performance and quality improvements, cross-team collaboration, and mentoring junior engineers. The position is hybrid in Sterling, Virginia, or Seattle, Washington.

Designs and builds developer-facing services and tools for Microsoft Fabric, including build systems, CI/CD, test infrastructure, validation environments, deployment services, rollback automation, and DORA reporting systems. The role involves writing production C# code, designing APIs and scalable services, improving engineering productivity, and participating in code reviews with emphasis on security and compliance.

Build and operate Cognitiv’s core backend platform for real-time bidding and campaign execution. Own features end to end from design through deployment, write reliable and well-tested production code, improve observability and service reliability, participate in on-call and post-mortems, and contribute to system design. Collaborate across teams, facilitate planning, mentor junior team members, and help evolve high-scale campaign management systems.

Build and operate resilient, highly available distributed systems and cloud infrastructure at scale. Responsibilities include developing automation tools, microservices, Infrastructure-as-Code with Terraform, and production-grade software using AI-assisted workflows. The role involves open-source contributions, system design, performance optimization, monitoring, incident response, technical debt reduction, and on-call support. Candidates must bring backend development experience, strong programming skills, critical-service ownership, database knowledge, advanced prompt engineering, and an AI-first engineering approach.

Design, develop, and maintain high-scale, low-latency services for Microsoft’s AI monetization platform. Write maintainable, performant, testable code; participate in architecture and design discussions; collaborate across partner teams; and drive effective project delivery. The role supports usage-based billing, licensing, telemetry, and AI FinOps services, with an emphasis on secure, reliable, scalable solutions and strong technical collaboration.

Develop and operate highly available cloud infrastructure and distributed backend systems across large public cloud environments. Build automation tools, infrastructure-as-code, microservices, and containerized platforms; troubleshoot complex production issues; improve reliability, resilience, and performance; manage technical debt; and participate in on-call support. The role focuses on DNS, cloud architecture, Linux systems, network technologies, CI/CD, monitoring, and large-scale infrastructure delivery.

Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.

As a Full-Stack Engineer at Superhuman, you will develop core product features, infrastructure, and collaborate with teams to enhance user experience, focusing on both front-end and back-end services.

As a Front-End Software Engineer, you will build AI-powered interfaces, tackle complex design problems, and collaborate across teams to enhance user experiences. Responsibilities include mentoring, implementing responsive UI, and engaging with AI technologies.

Design and implement Android features from design through launch, optimize mobile UX and performance, perform code reviews, evaluate technical tradeoffs, and use AI tools to streamline development while maintaining security and production-quality code.

Interns write production-quality code for deployment, observability, and environment platforms (Rubix, Apollo, Signals). Work includes full product lifecycle, collaboration with cross-functional teams, mentor pairing, and occasional field engagement with government or defense partners.

Design, develop, and maintain full-stack web applications hosted in the cloud. Implement front-end UIs, build backend APIs interacting with cloud services, containerize apps, collaborate with infrastructure engineers, follow Agile and DevSecOps practices, and contribute to extensible, object-oriented codebases.

Design, develop, deploy, and operate scalable cloud-based data, analytics, automation, and tooling solutions. Integrate Azure AI and machine learning capabilities, build high-quality software, and own solutions through operations. Implement monitoring, logging, alerting, security hardening, testing, and deployment automation. Collaborate with product managers, engineers, and stakeholders to deliver customer-focused experiences while using AI-assisted development to accelerate data pipelines, SQL transformations, Spark jobs, documentation, and testing.

Design, develop, test, deploy, and operate secure Teams Phone services in sovereign and air-gapped cloud environments. Build scalable distributed systems, improve reliability and observability, participate in on-call support, troubleshoot production incidents, and contribute to automation, CI/CD, documentation, and operational excellence. Collaborate with engineering, product, security, privacy, and SRE teams while using AI tools responsibly throughout the software development lifecycle.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.