Top Senior Software Engineer Jobs in Seattle, WA

Builds large-scale, cross-platform development infrastructure for CrowdStrike’s Falcon sensor. Responsibilities include architecting test frameworks, release and dependency-management systems, CI pipelines, developer APIs, and tools across Windows, Linux, and macOS. The role focuses on improving build reliability, developer feedback, deployment processes, and productivity while collaborating with distributed sensor teams. Python expertise is central, with C/C++ integration and AI-assisted development experience beneficial.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

The Founding Engineer will lead the development of Sailor Health's AI-powered platform, building systems for patient care and mentor the engineering team.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

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.

Develop and operate scalable, highly available analytics platform microservices and data-processing systems. Responsibilities include architecture, full-stack development, feature delivery, optimization, troubleshooting, operations, benchmarking, and collaboration with UX, TechOps, and Product teams. The role requires participation in on-call rotations and solving large-scale distributed systems challenges involving data ingestion, storage, processing, caching, routing, queues, and event-driven systems.

Develop and maintain CrowdStrike’s macOS endpoint security sensor using C/C++ and Swift. Design high-performance, reliable software across operating-system subsystems including filesystems, memory, processes, and networking. Own features from design through delivery, collaborate with distributed teams, troubleshoot customer-reported issues, and contribute to major product releases. The role requires strong concurrency, performance, and low-level systems expertise, plus effective use of AI technologies to improve workflows and decision-making.

Own end-to-end delivery of scalable backend services, APIs, data models, and user-facing features in a TypeScript monorepo. Use and guide AI coding agents, integrate HRIS and ticketing systems, optimize database performance, and build observable, testable production systems. Collaborate with product, design, and engineering teams, mentor teammates, participate in architecture and code reviews, and make pragmatic product decisions in a high-ownership startup environment.

Develop and ship high-performance iOS applications and camera experiences for Snapchat. Responsibilities include designing and implementing tested Objective-C software, launching features, evaluating technical tradeoffs, collaborating with Design, conducting code reviews, and using AI tools while maintaining strong standards for correctness, security, performance, and scalability.

Develop and launch scalable Android features from design through implementation, creating smooth and stable user experiences. Evaluate technical tradeoffs, collaborate with design, conduct code reviews, and maintain high standards for correctness, security, performance, and production readiness. Use Kotlin, Java, RxJava, Dagger, and AI-assisted development tools. The role requires substantial software development experience and Android application expertise.

Build and maintain scalable full-stack web applications and systems for Snap products. Develop user interfaces, optimize performance and browser rendering, contribute to shared libraries, analyze operational metrics, and deliver secure, production-ready code. The role requires strong front-end and back-end development skills, testing knowledge, distributed systems experience, and the ability to use AI tools responsibly in engineering workflows.

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.

Build and operate scalable, reliable full-stack systems for high-value international money transfers across web, mobile, and backend services. Lead architecture for complex customer experiences, meet strict availability and latency goals, use AI-native development practices, collaborate with product and design teams, and mentor engineers while strengthening coding, testing, observability, and system design practices.

Design, develop, operate, and optimize highly available distributed systems across large-scale cloud environments. Build infrastructure automation, microservices, and Infrastructure-as-Code using Terraform and container platforms. Apply AI development tools and advanced prompt engineering to produce secure, reliable software. Contribute to open source, evaluate code, resolve complex production issues, manage technical debt, and participate in on-call rotations.

Build and operate reliable full-stack features for NVIDIA’s AI Hub, spanning frontend, backend, and data layers. Own features from design through production support, improve system reliability and observability, collaborate with product and AI research stakeholders, participate in reviews and on-call rotations, and apply modern cloud infrastructure, deployment, testing, and monitoring practices.

Build and operate scalable Ruby on Rails APIs and React interfaces for data activation. Responsibilities include API design, performance and reliability improvements, automated testing, production troubleshooting, documentation, architecture discussions, incident response, and cross-functional collaboration. The role requires secure, maintainable software development and responsible use of AI-assisted tools, with opportunities to establish API standards and mentor engineers.

Build performant, scalable backend applications in cloud-based microservice architectures using Java, Kotlin, AWS, and related technologies. Shape technical architecture, own solutions for new product requirements, deliver highly available production services, and collaborate with stakeholders and technical teams. Mentor engineers, generate technology initiatives, and promote a learning environment. The role is hybrid in Seattle with part-time telecommuting available.

Lead development, testing, code reviews, and architecture for highly available, scalable software services. Translate user stories into technical solutions, collaborate with product and project leads, mentor engineers, contribute to technical culture, and identify new technology initiatives. The role requires backend development, cloud platforms, infrastructure as code, databases, testing, observability, workflow orchestration, and collaborative Agile software development.

Design, architect, and implement scalable software solutions, including backend applications, microservices, APIs, databases, and data pipelines. Develop secure server-side systems, testing frameworks, dashboards, and data visualizations. Collaborate with cross-functional and senior engineering teams, conduct unit, integration, and end-to-end testing, and mentor junior engineers while promoting engineering best practices.

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.

Design, develop, test, and operate large-scale distributed software services within Microsoft Security. Responsibilities include system and interface design, code and design reviews, secure and reliable modular components, integration testing, monitoring, troubleshooting, automation, and Live Site optimization. Engineers collaborate with product and engineering teams to deliver data-driven customer experiences and may work on cloud, secure software, and AI/ML-powered systems.

Own and evolve core transaction platform services handling global remittances at scale. Responsibilities include designing resilient APIs and distributed systems, improving delivery estimates, leading multi-engineer initiatives, migrating production systems, managing reliability and on-call operations, evaluating AI-generated code, collaborating cross-functionally, and mentoring engineers.

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.