Top Tech Jobs & Startup Jobs in Seattle, WA

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.

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.

Partner with business teams to define analytics roadmaps, build dashboards and visualizations in Tableau, write complex SQL for ad hoc analysis, collaborate with Data Engineering to evolve the data warehouse, maintain a data catalog/dictionary, set data quality and governance standards, define SLAs for data products, troubleshoot performance issues, and mentor junior analysts.

Lead end-to-end technical recruiting: source, screen, interview, and close senior engineering talent. Partner with hiring leaders to build pipelines, track metrics, craft job descriptions, manage ATS data, and deliver a white-glove candidate experience in a fast-paced, high-growth environment.

The Manager, Corporate FP&A - Consolidation leads corporate reporting, consolidates financial data, and communicates results. Responsibilities include managing timelines, standardizing reports, and collaborating with various teams to ensure accuracy and strategic output.

Design and maintain scalable backend systems integrating hardware with machine learning. Optimize data processing and deploy microservices for high-performance applications.

Lead technical vision and cross-team initiatives for Network Expansion, architecting and delivering distributed, customer-facing systems. Manage and coach multiple engineering teams, collaborate with product/design/operations, own business outcomes, and improve CI/CD, testing, and production reliability.

The Senior Analytics Engineer designs large-scale data warehouses, builds data pipelines, and provides architectural guidance to ensure data quality and accessibility for decision-making across the company.

Manage and optimize Oracle Cloud EPM, liaise between Finance and data teams, oversee data integration, and improve financial forecasting.