Senior Software Engineer

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

Senior Software Engineer role in the Business & Industry Copilots group at Microsoft, focusing on the Dataverse Runtime team. The role involves leading the design and implementation of secure, scalable, and resilient cloud services and enterprise data platforms, with a specific emphasis on enabling agentic AI experiences and autonomous workflows for enterprise customers. Responsibilities include technical leadership, collaboration, driving features, automation, live-site operations, and mentoring. Preferred qualifications include experience with agentic AI technologies and workflows.

What you'd actually do

  1. Lead the architecture, design, and implementation of secure, scalable, and resilient cloud services and enterprise data platforms powering mission-critical Dataverse Runtime workflows.
  2. Drive technical direction for major features and enhancements within Dataverse Runtime services, ensuring high reliability, performance, compliance, and accessibility standards.
  3. Collaborate across disciplines and with principal engineers, product managers, and stakeholders to deliver end-to-end solutions that span multiple services and data pipelines.
  4. Design and implement automation for deployment, monitoring, issue detection, diagnosis, and self-healing, reducing operational overhead and improving live-site health at scale.
  5. Proactively identify, analyze, and resolve systemic issues or architectural bottlenecks; drive resiliency improvements through advanced observability, diagnostics, and recovery strategies.

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Ability to meet Microsoft, customer and/or government security screening requirements

Nice to have

  • Proven experience leading the design and development of cloud-based, distributed systems using Azure services, microservices architectures, and CI/CD pipelines.
  • Deep understanding of security, compliance, accessibility, and enterprise-scale engineering best practices.
  • Demonstrated ability to influence technical direction, drive cross-team collaboration, and deliver solutions that meet complex business and technical requirements.
  • Master’s Degree in Computer Science or related technical field AND 7+ years of technical engineering experience
  • Experience in agentic AI technologies and workflows, including building systems that enable autonomous decision-making, orchestration, and safe execution of AI-driven processes within enterprise environments.
  • Proficiency in Python for automation, data processing, or integration with cloud services and AI workflows.

What the JD emphasized

  • agentic AI experiences
  • autonomous workflows
  • robust guardrails for safe orchestration

Other signals

  • enabling agentic AI experiences
  • autonomous workflows for enterprise customers
  • architecting runtime capabilities, data contracts, and service patterns that enable agentic AI experiences, autonomous workflows, and robust guardrails for safe orchestration