Software Engineer
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Microsoft
NewDesign and implement highly available SQL-based services powering Dataverse at cloud scale, handling millions of transactions weekly. Requires a bachelor's degree in computer science and 4+ years of coding experience in languages like C++, C#, Java, or Python. Key skills include Azure services, SQL performance tuning, microservices architecture, and CI/CD pipelines. This role is based in the U.S., with pay ranging from $119,800–$234,700 annually, or $160,200–$261,000 in the San Francisco Bay Area and New York City.
Written from this posting by Neural Jobs AI. The full description is below.
Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.
The Business & Industry Copilots group is a rapidly growing organization responsible for Microsoft Dynamics 365, Copilot Studio, Power Apps, Power Automate, Dataverse, Microsoft Industry Solutions, and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications, and this organization is at the heart of how business applications are designed and delivered.
We are looking for a Senior Software Engineer to join our team! This is an exciting time to work on something highly strategic to Microsoft. Microsoft Dataverse is the data cloud behind mission-critical business apps and agentic experiences—operating at unmatched scale: 6M+ Azure SQL databases, 2T+ weekly transactions, and 30M+ weekly active users. At the heart of this platform, the Data Engine team owns SQL availability and performance for the world’s largest Azure SQL deployment and the data access/authorization plane for many Fortune 500 customers with 100TB-class datasets and 100K-user workloads. Our unique challenge? Deliver best-in-class quality of service while driving down cost and improving gross margin in a multi-tenant environment. Join us to design and operate the data platform that enables enterprise users and agents to reason over business data—fast, resilient, secure, and cost-efficient. You’ll work alongside world-class engineers solving complex problems at cloud scale with impeccable quality.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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