Senior Software Engineer - Full Stack, AI & Platform Modernization Microsoft | Engineering Workforce Strategy & Operations
Build intelligent enterprise applications that help Microsoft make better decisions about its engineering investments.
Our Engineering Workforce Strategy & Operations team develops platforms that connect workforce planning, resource allocation, and business insights. We are looking for a hands-on Senior Software Engineer to help evolve these experiences through full-stack engineering, cloud-native services, and practical applications of AI.
You will design, code, test, and operate the Resource Allocation Management Platform (RAMP). Your work will span React interfaces, backend services, APIs, Dataverse extensions, enterprise integrations, and automated workflows. You will solve technical challenges in distributed processing, data consistency, performance, identity, and reliable software delivery.
This role combines the opportunity to build new capabilities with the engineering challenge of modernizing an established platform. You will make thoughtful architectural choices across custom software and Microsoft Power Platform, simplifying complex workflows and delivering improvements incrementally while maintaining business continuity.
AI is central to both the product opportunity and our engineering approach. You will build AI-assisted and agent experiences grounded in secure, governed data, and use AI-powered development tools to improve how we design, build, test, and operate software.
This is a hands-on engineering individual-contributor role. You will own technical design, implementation, testing, and operational quality, partnering with product management on requirements and priorities.
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.
Responsibilities
- Build across the stack. Write and maintain production code for web interfaces, backend services, APIs, Dataverse plugins, custom components, and integrations. Translate product requirements into technical designs and own implementation, automated testing, deployment, and production operation.
- Lead platform modernization. Evolve application architecture and business workflows using the right combination of custom services, Dataverse, Power Apps, and Power Automate. Develop reusable components and clear service boundaries that improve maintainability, extensibility, and reliability.
- Lead architecture and technical execution. Define service boundaries, API contracts, data models, and migration patterns. Validate designs through prototypes and performance tests.
- Engineer resilient integrations. Build secure, observable connections across enterprise systems. Apply sound patterns for asynchronous processing, validation, retries, idempotency, and reconciliation to protect data integrity and business continuity.
- Deliver trustworthy AI experiences. Develop AI-assisted applications and agent integrations that help users find information, gain insights, and complete supported workflows. Incorporate evaluation, permission-aware access, auditability, and appropriate human oversight.
- Own quality and operational excellence. Strengthen automated testing, CI/CD, environment management, telemetry, and release practices. Investigate production issues, address root causes, and improve service performance and reliability.
- Embed security and privacy. Apply secure engineering practices, least-privilege access, and appropriate data controls throughout the development lifecycle.
- Raise the engineering bar. Lead design and code reviews, mentor engineers, and improve shared libraries, developer tooling, and test infrastructure. Partner with product management to clarify requirements, provide engineering estimates, and communicate technical dependencies and delivery risks.
Qualifications
Required Qualifications
- 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
- OR equivalent experience.
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:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Solid software development experience with languages such as C#, Java, JavaScript/TypeScript, Python, or equivalent.
- Experience delivering and operating production applications across frontend, backend, API, and data layers.
- Experience in software design, data modeling, automated testing, debugging, source control, and secure development.
- Demonstrated ownership of complex engineering work from problem definition through production delivery.
- Ability to collaborate across technical and business teams and explain architectural choices and trade-offs.
- Proficiency in C#/.NET, React, and JavaScript/TypeScript, or comparable technologies.
- Experience extending Dataverse and Power Apps through APIs, plugins, custom components, or connectors, and developing maintainable Power Automate workflows.
- Experience modernizing business-critical applications and integrating custom software with enterprise platforms.
- Experience with Azure services, event-driven architectures, relational databases, and distributed-system reliability.
- Experience building or evaluating AI-powered applications, agents, or tool integrations.
- Effective use of AI-assisted engineering tools such as GitHub Copilot to accelerate development while maintaining code quality and validation.
- Experience with CI/CD, infrastructure as code, observability, performance analysis, and production incident response.
- Familiarity with Microsoft Fabric, Power BI, or semantic-model integration.
- A track record of technical mentorship and collaborative delivery in teams with diverse perspectives and expertise.
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.
Microsoft Mountain View, California, USA Office
1065 La Avenida, Mountain View, CA 94043, Mountain View, United States, 94043
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Palo Alto, United States
Microsoft San Francisco, California, USA Office
835 Market Street, Suite 700, San Francisco, CA 94103, San Francisco, United States, 94103
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San Jose, United States
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Sunnyvale, United States
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