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Senior Software Engineer

Deliver best-in-class quality of service while driving down cost and improving gross margin in a multi-tenant environment. Design and implement highly available, performant, and secure SQL-based services that power Dataverse at ma...

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Microsoft Redmond, WA,US, US Source published Sep 14, 2026 Verified 23 hours ago
✓ 95% verification score · Source: Microsoft Careers · Always confirm final requirements on the original source.
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Senior Software Engineer opportunity at Microsoft
DeadlineSat Mar 13 7:44 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Deliver best-in-class quality of service while driving down cost and improving gross margin in a multi-tenant environment. Design and implement highly available, performant, and secure SQL-based services that power Dataverse at massive scale. Develop features and enhancements for Data Engine services with strong reliability, compliance, and cost-efficiency practices to maintain QoS and gross margin in a multi-tenant environment. Collaborate with engineers and cross-functional partners to influence technical direction and deliver end-to-end solutions across SQL data access and authorization. Build automation for deployment, monitoring, diagnostics, and self-healing to reduce operational overhead and improve live-site health for the world's largest Azure SQL footprint. Identify and resolve recurring issues or trends; drive resiliency improvements through better observability, root-cause an

Full job description

Full Job Description

Deliver best-in-class quality of service while driving down cost and improving gross margin in a multi-tenant environment. Design and implement highly available, performant, and secure SQL-based services that power Dataverse at massive scale. Develop features and enhancements for Data Engine services with strong reliability, compliance, and cost-efficiency practices to maintain QoS and gross margin in a multi-tenant environment. Collaborate with engineers and cross-functional partners to influence technical direction and deliver end-to-end solutions across SQL data access and authorization. Build automation for deployment, monitoring, diagnostics, and self-healing to reduce operational overhead and improve live-site health for the world's largest Azure SQL footprint. Identify and resolve recurring issues or trends; drive resiliency improvements through better observability, root-cause analysis, and recovery strategies for mission-critical workloads. Participate in live-site operations, including alert tuning, production fixes, and preventive engineering to protect customer experience at scale. Engage in code reviews, share knowledge, and model best practices; continually refine engineering processes to meet evolving enterprise and agentic AI needs. Contribute to transforming Dataverse for agentic AI experiences—building secure, scalable data access patterns and service capabilities that enable autonomous workflows and safe orchestration. 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 These requirements include but are not limited to the following specialized security screenings: Master'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 OR Bachelor'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 equivalent experience. Proficiency with Azure services, microservices architecture, and CI/CD pipelines; strong understanding of security, compliance, and accessibility standards. Experience with SQL query tuning and performance analysis, knowledge of SQL server internals. 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.

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