Senior Software Engineer, Full Stack

Microsoft • Redmond, WA

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About The Position

Microsoft’s Engineering Workforce Strategy & Operations team develops platforms connecting workforce planning, resource allocation, and business insights. The Senior Software Engineer will help evolve these experiences through full-stack engineering, cloud-native services, and practical applications of AI. The role designs, codes, tests, and operates the Resource Allocation Management Platform (RAMP), working across React interfaces, backend services, APIs, Dataverse extensions, enterprise integrations, and automated workflows.

This hands-on individual-contributor role combines building new capabilities with modernizing an established platform. The engineer makes architectural choices across custom software and Microsoft Power Platform, simplifying complex workflows and delivering improvements incrementally while maintaining business continuity. AI is central to the product and engineering approach: the role builds AI-assisted and agent experiences grounded in secure, governed data and uses AI-powered development tools to improve software design, delivery, testing, and operations.

The engineer owns technical design, implementation, testing, and operational quality, partnering with product management on requirements and priorities. Responsibilities include leading technical execution, building resilient integrations and trustworthy AI experiences, strengthening quality and operational practices, embedding security and privacy, and mentoring engineers.

Requirements

• Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python; or equivalent experience.
• Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
• 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.

Nice To Haves

• 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.

Responsibilities

• Build 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.
• Evolve application architecture and business workflows using appropriate combinations of custom services, Dataverse, Power Apps, and Power Automate.
• Develop reusable components and clear service boundaries to improve maintainability, extensibility, and reliability.
• Define service boundaries, API contracts, data models, and migration patterns; validate designs through prototypes and performance tests.
• Build secure, observable enterprise integrations, applying asynchronous processing, validation, retries, idempotency, and reconciliation patterns to protect data integrity and business continuity.
• 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 human oversight.
• Strengthen automated testing, CI/CD, environment management, telemetry, and release practices.
• Investigate production issues, address root causes, and improve service performance and reliability.
• Apply secure engineering practices, least-privilege access, and appropriate data controls throughout the development lifecycle.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior