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Software Engineering IC4

Microsoft

$119,800 - $258,000
Aug 17, 2025
Redmond, WA, USA
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Microsoft Copilot Studio team is looking for a Senior Software Engineer to lead the design and development of core capabilities in the Data Plane for hosting and running millions of agents, ensuring speed, reliability, high-performance, and dependability at scale.

Requirements

  • coding in languages including, but not limited to, C, C++, C, Java, JavaScript, or Python
  • 3+ years of experience as a developer working with cloud-based platforms or AI-driven systems.
  • Experience creating AI-centric software and services, and familiarity with AI-based orchestration and agent capabilities.
  • Experience building scalable applications and services on Azure or other scalable cloud platforms with robust reliability, resliency, security, and performance.
  • Understanding of identity, access control, and secure service design.

Responsibilities

  • Lead the design and development of core capabilities in the Data Plane as part of hosting and running millions of agents.
  • Ensure these agents operate with speed and reliability, delivering high-performance and dependable experiences at scale.
  • Shape the architecture and execution of mission-critical services that enable agents to run on a large scale.
  • Work closely with product, design, and partner teams across Microsoft to deliver high-impact features that empower users and scale across millions of tenants.
  • Lead architecture, design, and implementation of scalable, reliable, and secure services in the Copilot Studio Runtime.
  • Collaborate with cross-functional teams to define and deliver end-to-end scenarios that span Azure, M365, and Power Platform ecosystems.
  • Practice engineering best practices, including CI/CD, observability, and operational excellence.

Other

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Mentor and guide engineers across the team, fostering a culture of technical skill, inclusion, and continuous learning.
  • Partner with PMs and leadership to align engineering investments with product vision and customer needs.
  • Partner with Data Science and AI experts to transform what it means to build AI-first SaaS.