Top Senior Engineer Jobs in Seattle, WA

Design and lead backend services for Metropolis’s incentive and rewards platform. Build real-time event-driven systems, compliance and preference services, personalized decisioning frameworks, identity systems, attribution tools, and scalable eligibility and partner configuration services. Collaborate with Product, Marketing, and Data on the technical roadmap, mentor engineers, lead technical discussions, and manage the full software development lifecycle through production deployment.

Designs and operates scalable Managed Database control-plane and infrastructure systems for PostgreSQL and MySQL workloads. Responsibilities include architecture, implementation, performance optimization, resiliency, automated failover, backups, point-in-time recovery, observability, and production on-call support. Leads cross-team technical projects, translates ambiguous requirements into designs, mentors engineers, conducts reviews, and improves reliability for high-concurrency, data-intensive, and AI-adjacent cloud workloads.

Build and own scalable full-stack mobility platform features across databases, backend APIs, and user interfaces. Collaborate with UX, product, and engineering teams to deliver high-quality experiences for high-throughput environments. Lead projects from inception through production, improve performance and reliability, champion engineering best practices, mentor junior engineers, and evaluate tools and frameworks for continuous platform improvement.

Lead internationalization engineering across Remitly’s global products. Build AI-powered translation tooling, localization pipelines, and frontend/backend i18n frameworks supporting multiple languages, scripts, and locales. Establish technical roadmaps, quality standards, and scalable translation practices while partnering with Localization, Product, Design, Legal, Marketing, and engineering teams. Mentor engineers, improve legacy systems, support RTL and bidirectional languages, and deliver locale-aware formatting and transliteration capabilities.

Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

Installs, customizes, upgrades, patches, maintains, and troubleshoots IBM z/OS and ISV products in managed mainframe environments. Supports disaster recovery, performance optimization, database and infrastructure administration, security, customer incidents, change control, and ServiceNow requests. Plans transitions and technical projects, develops automation scripts and documentation, supports proposals and service scoping, and mentors technical staff while maintaining customer relationships.

Design and optimize scalable, multi-tenant serverless inference infrastructure and APIs for large-scale AI workloads. Build highly available distributed services, improve GPU utilization, observability, capacity management, fault tolerance, and operational automation. Partner with platform and GPU infrastructure teams, contribute to architecture decisions, participate in on-call and incident response, and provide technical leadership and mentorship to engineers.

Coordinates international aircraft type validation with the FAA and global regulators. Assesses aerospace regulatory compliance, resolves certification issues, tracks regulator actions, communicates validation risks, prioritizes tasks, leads stakeholder discussions, integrates requirements into technical applications, and drafts regulatory submissions. The role requires project management, aircraft certification knowledge, international travel up to 10%, and work across Renton and Everett, Washington.

Build the developer ecosystem for NVIDIA Dynamo, an open-source distributed AI inference framework. Responsibilities include creating demos, sample code, documentation, videos, technical talks, workshops, and office hours; collaborating with inference projects and open-source maintainers; troubleshooting deployments; gathering developer feedback; influencing engineering and product priorities; and communicating progress externally. The role requires hands-on experience with model serving, Kubernetes, distributed inference, performance optimization, and developer or partner programs.

Leads technical pre-sales activities for complex enterprise opportunities across the Western Region. Responsibilities include discovery, solution architecture, demonstrations, workshops, proof-of-concept engagements, technical evaluations, RFI/RFP responses, and translating infrastructure, cloud, security, migration, and data protection requirements into business value. Partners with sales, product, engineering, and customer teams; identifies risks, supports technical decision-making, contributes enablement content, and mentors other Solutions Engineers.

Own and build the company’s machine learning infrastructure, including a shared feature store, model-serving systems, drift monitoring, and unified deployment pipelines. Establish long-term MLOps standards and processes from the ground up, while collaborating with data scientists and engineers to drive adoption and improve production model reliability.

Leads enterprise-scale Microsoft Hyper-V infrastructure engineering across global data centers. Designs resilient clusters, automates provisioning and compliance with PowerShell and DSC, develops C#/.NET orchestration services, benchmarks performance, troubleshoots full-stack infrastructure issues, evaluates server hardware, remediates vulnerabilities, documents architectures, and mentors engineers. The role also promotes validated, auditable use of enterprise AI capabilities in infrastructure operations.

Owns project delivery and tier 2 support across DigitalOcean’s go-to-market systems. Responsibilities include implementing tools, building integrations and automations, maintaining Salesforce and related platforms, troubleshooting data flows, developing AI-powered workflows, coordinating with vendors, contributing to solution design, and documenting reusable patterns. The role requires strong Salesforce expertise, integration and API experience, SQL and warehouse fluency, familiarity with Apex, Python, or JavaScript, and at least five years administering and building GTM systems.

Leads engineering for enterprise agentic AI and LLM platforms. Designs and deploys production-grade LLM services, RAG solutions, autonomous agents, APIs, and cloud-native AWS architectures. Provides technical leadership, architecture guidance, code reviews, MLOps, monitoring, governance, and operational excellence. Drives responsible AI practices and adoption of AI-assisted development across teams, emphasizing security, auditability, human oversight, scalability, and performance.

The Senior Data Science Engineer will lead the development of machine learning projects, build scalable data pipelines, and collaborate with teams to implement solutions while ensuring quality and business impact.

Lead AI-focused application security across software, cloud, hardware, and firmware. Conduct offensive security assessments and AI-driven red teaming, develop secure-code fixes and AI-enabled security tooling, evaluate threats such as prompt injection and agent abuse, and establish organization-wide AI security strategy. Partner with engineering, hardware, and executive leadership to strengthen security controls and adoption of safe AI workflows.

Develop and maintain data-protection features in CrowdStrike Falcon sensor on Windows, working across kernel and user mode. Implement filesystem minifilter drivers, AI-aware detection/protection logic, debug kernel issues, own features end-to-end, and collaborate with cross-functional teams to ship and support endpoint data security capabilities.

Leads mechanical integration of aircraft subsystems from concept through production, including installation architecture, equipment packaging, routing, interface definition, drawings, tolerance analyses, and manufacturing support. Coordinates multidisciplinary teams, suppliers, prototype builds, and production issue resolution. Designs complex machined, composite, fabricated, and sheet-metal assemblies; supports technical planning and risk management; and mentors junior engineers in CAD, GD&T, installation design, and engineering practices.

Develop and maintain scalable SaaS solutions for financial reporting and capital markets customers. Responsibilities include full-stack development, system design, testing, monitoring, performance optimization, security, technical debt reduction, and collaboration with product managers, developers, and SRE teams. The role requires building reliable, secure, maintainable data-driven applications and contributing across the software development lifecycle.

Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.

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.

Lead technical direction and build full-stack AI voice-agent experiences for drivers. Design agent behavior, memory, context sharing, orchestration, arbitration, APIs, and service boundaries. Ship products from concept through production, evaluate AI behavior in real-world use, document architectural tradeoffs, mentor engineers, and establish AI-assisted engineering practices using tools such as Codex, Claude Code, and Cursor.

Lead architecture and development for a new Provider Onboarding engineering domain. Build scalable full-stack, database-backed applications and microservices supporting pricing, payments, client panels, forms, and provider workflows. Mentor engineers, establish design patterns, drive cross-functional delivery across the full software lifecycle, and improve operational reliability for a healthcare platform.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Break down projects, collaborate with product, design, and analytics teams, develop scalable APIs, write well-tested code, monitor service health, participate in on-call support, review code, and contribute to engineering growth and interviewing.

Develop and promote product quality across multiple engineering teams through exploratory, risk-based, automated, API, and integration testing. Build reliable test coverage, investigate complex application and CI failures, improve testability and feedback loops, identify systemic quality issues, and influence product and technical decisions. The role also supports quality strategy, reusable test infrastructure, developer tooling, and engineering productivity.