Microsoft
US - Washington - Redmond
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Set technical direction for a broad autonomous operations problem space, translating ambiguous business and operational goals into a coherent architecture and execution plan. Architect and deliver platform foundations that enable fleets of AI agents to reason, coordinate, and safely execute operational workflows at scale. Lead the design of intelligent systems for deployment, capacity, resiliency, recovery, optimization, and other fleet-scale operational scenarios. Define Sandbox isolation, controlled production access, safety boundaries, policy enforcement, observability, rollback, and human oversight patterns that contain the blast radius of agentic actions in production environments. Establish evaluation, experimentation, feedback, and learning systems that measure and improve the quality, safety, and effectiveness of autonomous operations. Drive alignment across COSMIC engineering, product, and architecture partners, resolve difficult technical tradeoffs, and broker cross-team commitments. Produce simple, maintainable designs and production-quality code for complex distributed systems, while improving shared engineering patterns and platform primitives. Use production signals and customer feedback to identify systemic opportunities, shape roadmaps, and change the momentum of current plans toward higher-impact outcomes. Mentor senior engineers, improve technical decision-making across the group, and create leverage through reusable designs, guidance, and tooling. Champion operational excellence by reducing toil, improving incident outcomes, and making reliable operational practices the default experience. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience architecting and shipping large-scale distributed systems, cloud infrastructure, or Kubernetes-based platforms. Demonstrated technical leadership across multiple teams, including driving architecture, alignment, and delivery through complex dependencies. Experience building production AI or agent systems, workflow orchestration, control planes, or intelligent automation. Experience designing safety, policy, identity, authorization, observability, evaluation, or human-approval mechanisms for automated systems. Solid hands-on engineering depth and a track record of simplifying difficult systems through durable platform abstractions. Experience using production telemetry, experimentation, and customer signals to guide technical and product decisions. Ability to communicate complex technical strategy and tradeoffs clearly to engineering teams and senior stakeholders.
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