Senior Software Engineer, Full Stack

Microsoft • Redmond, WA

2d • $119,800 - $261,000

About The Position

The Senior Software Engineer is a hands-on individual contributor on Microsoft’s Engineering Workforce Strategy & Operations team, building and modernizing the Resource Allocation Management Platform (RAMP). The platform supports workforce planning, resource allocation, and business insights. The role spans React interfaces, backend services, APIs, Dataverse extensions, enterprise integrations, and automated workflows, with responsibility for technical design, implementation, testing, deployment, and production operation.

The engineer will evolve an established platform while building new capabilities, choosing appropriately among custom software and Microsoft Power Platform technologies. The work includes addressing distributed processing, data consistency, performance, identity, and reliable software delivery, and incrementally improving workflows while maintaining business continuity. The role also develops AI-assisted applications and agent experiences using secure, governed data, and applies AI-powered development tools to improve engineering work.

This individual contributor owns technical design, implementation, testing, and operational quality, and partners with product management on requirements and priorities. The role includes technical leadership through architecture decisions, design and code reviews, mentoring, and improvements to shared engineering tools and practices.

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.

Nice To Haves

• Solid software development experience with 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.

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.
• Modernize application architecture and business workflows using custom services, Dataverse, Power Apps, and Power Automate; develop reusable components and service boundaries that 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 using 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 appropriate human oversight.
• Strengthen automated testing, CI/CD, environment management, telemetry, and release practices; investigate production issues, address root causes, and improve 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