Top Engineering Jobs in Seattle, WA

Own the architecture and technical direction of a high-volume recognition platform spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Lead streaming pipeline design, privacy and consent models, observability, reliability, testing, progressive delivery, RFCs, cross-functional alignment, and mentorship. Build systems that combine deterministic rules with probabilistic computer vision signals under physical-world deployment constraints.

Design and build foundational web services, service mesh infrastructure, developer tooling, CI/CD automation, and highly reliable distributed systems. Architect scalable APIs and data consistency patterns, optimize high-throughput systems, establish observability and reliability practices, and mentor engineers. The role supports millions of transactions across mobility products and requires collaboration across application, infrastructure, and advanced technology teams.

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.

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.

Own platform-wide reliability engineering for 99.9%+ uptime. Design failover, multi-region deployments, database replication, disaster recovery, observability, synthetic monitoring, SLO alerting, incident management, chaos engineering, and resilience patterns. Build dependency mirrors and automation while influencing architecture and establishing reliability standards across teams. The role requires expertise in distributed systems, AWS, databases, Datadog, JVM performance, Java or Scala, and production operations at scale.

Design, develop, and maintain scalable backend services in Java and Scala; implement gRPC APIs; use Redis, MySQL/PostgreSQL and Kafka for low-latency data and event streaming; deploy and manage microservices on Kubernetes; collaborate with Hardware, ML, and Operations teams; diagnose and resolve performance and scalability issues.

Senior Cloud Infrastructure Engineer responsible for designing, building, and operating central cloud infrastructure on AWS; managing observability (Datadog), version control and CI/CD (Git/GitHub); and collaborating closely with product and engineering teams. Role requires regular on-site presence (four days/week) and contributes to platform reliability and scalability.