Top Tech Jobs & Startup Jobs in Seattle, WA

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.

Drive corporate financial forecasting, variance analysis, financial modeling, capital allocation, long-range planning, ROI analysis, and OpEx/headcount management. Advise business units, prepare board reporting and dashboards, validate financial data, improve workflows, automate reporting, shorten month-end cycles, and document finance procedures. The role requires strong Excel, ERP/EPM, GAAP, financial analysis, generative AI, data synthesis, executive communication, and multitasking skills.

The Senior AI Engineer will design and build AI-powered automation tools, maintain LLM systems, and collaborate with business analysts to enhance processes across various operations.

As a Senior Machine Learning Engineer, you will design and deploy computer vision models, collaborate with teams, and mentor juniors while ensuring high-performance solutions.

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.

Lead application and product security across web, mobile, API, AI/CV, and cloud-native systems. Drive secure SDLC, DevSecOps, CI/CD and supply chain security, threat modeling, tooling/automation, vulnerability remediation, and developer enablement while partnering closely with engineering teams.

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.

Leads complex recognition technology deployments from planning through go-live, serving as the technical design and project management owner. Responsibilities include developing project plans, managing budgets, schedules, risks, integrators, customers, site audits, technical architectures, quality gates, and support handoffs. The role also improves deployment processes, translates customer requirements into scalable designs, and supports regional business development.