Top Tech Jobs & Startup Jobs in Seattle, WA

Designs, implements, and operates secure, highly available authentication infrastructure at global scale. Writes and reviews code, improves reliability and observability, participates in on-call rotations, drives incident response and long-term fixes, and applies AI-assisted development to improve productivity and safety.

Design and build large-scale, highly available Responsible AI cloud services. Lead architecture, development, release, and production readiness. Collaborate with engineers, scientists, and product managers to integrate Responsible AI features across Azure AI and related services, drive DevOps practices, and improve performance, observability, and reliability.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Design, architect, and implement extremely high-scale, low-latency identity and security services. Lead reliability, deployment automation, incident triage, and infrastructure security improvements. Define KPIs and priorities, drive large technical deliverables, and mentor a diverse engineering team while incorporating customer feedback and AI/ML solutions.

Design, build, and scale cloud-native distributed systems and runtimes to deploy, run, fine-tune, and observe enterprise AI agents. Drive architecture, optimize model/infrastructure interactions, improve developer iteration tooling, enforce secure-by-design practices, and mentor engineering teams to deliver production-ready agent platforms.

Design, develop, and ship scalable, high-performance backend features for a large distributed advertising platform. Drive architectural improvements, collaborate across teams from concept to live operations, troubleshoot and test code, and mentor engineers to improve quality and maintainability.

Lead technical strategy and execution for service-to-service authentication; set architecture and quality standards; mentor engineers; drive platform reliability, performance, and security; adopt and guide AI tooling and agents for engineering productivity; own on-call/live-site excellence and post-mortems; coordinate across teams and stakeholders to deliver scalable cloud authentication services.

Design, implement, and maintain scalable experimentation platform services. Collaborate with engineers, PMs, and privacy/security/SRE partners to deliver reliable, diagnosable features, participate in on-call rotations, and improve tooling, telemetry, and automation to support large-scale A/B testing and AI product experimentation.

Lead end-to-end simultaneous global releases for a strategic AI partnership, coordinating engineering, product, compliance, localization, and partner teams to ensure release readiness, reliability, and regulatory compliance. Drive program rhythm, risk mitigation, metrics, continuous improvement, and executive reporting while ensuring Responsible AI governance and strong stakeholder influence across Microsoft and external partners.

Design and develop large-scale distributed backend services with a strong emphasis on security, reliability, testability, and observability. Drive modern engineering practices, perform system and code reviews, improve test coverage and CI/CD, troubleshoot live-site issues, and collaborate with product and engineering teams to deliver data-driven customer solutions.