Principal Software Engineering Lead

About the Position

The Engineering Workforce Strategy and Operations team at Microsoft is seeking a Principal Software Engineering Lead to define and drive the engineering vision for RAMP (Resource Allocation Management Platform). RAMP is Microsoft’s internal, AI-powered workforce resource management planning platform that is rapidly becoming the foundation for how engineering organizations understand, plan, and allocate talent at scale.

This is a rare opportunity to shape a platform at the center of Microsoft’s transformation toward AI-driven business operations. As the system of record for workforce planning across core engineering divisions, RAMP sits at the intersection of engineering, HR, and Finance-powering decisions that directly impact how teams are built, funded, and executed.

As the platform scales, this role is accountable for architecting a system that can move from traditional reporting to agentic, intelligent, predictive, and increasingly autonomous planning. You are a systems thinker who sees how data, AI, and workflows come together to enable real-time visibility, forward-looking insights, and streamlined decision-making across thousands of users and complex organizational structures.

You are responsible for the technical foundation that makes this possible, ensuring the platform is not only scalable and reliable, but also flexible enough to evolve as new AI capabilities, data sources, and business needs emerge. You will partner closely with product management as the technical counterpart, translating ambitious product direction into a durable, extensible architecture that can support both rapid innovation and long-term platform integrity. You are experienced in transforming teams to build products in agile ways, with pace and urgency.

Responsibilities

Engineering Vision & Architecture Strategy

• Define and own the technical vision and architectural strategy for RAMP platform.
• Establish a long-term architectural roadmap aligned to product vision while ensuring near-term delivery feasibility.
• Drive decisions on platform design, service boundaries, and system evolution to support scale across multiple engineering divisions.
• Ensure the architecture supports high trust, data integrity, and auditability for sensitive workforce data.
• Lead transformation in how the team builds products, introducing agile, fast-paced development approaches that accelerate delivery and innovation.

Platform Design & Scalability

• Lead design of distributed, scalable, and resilient systems supporting high-volume data integration and analytics.
• Architect solutions that integrate with HR, Finance, and enterprise data platforms (e.g., Dataverse, Fabric).
• Ensure the platform can scale across large user bases, complex org structures, and frequent data changes.
• Balance performance, cost, and maintainability while enabling rapid iteration.

Data & AI Architecture

• Define the architecture for data pipelines, data models, and analytics layers supporting workforce planning scenarios.
• Enable integration of AI/ML capabilities, including forecasting, anomaly detection, and intelligent workflows.
• Establish patterns for data governance, lineage, and consistency across systems.
• Partner with data engineering and analytics teams to ensure trusted, high-quality data foundations.

Engineering Excellence & Standards

• Set and enforce engineering standards, design principles, and best practices across the platform.
• Lead architecture reviews, design reviews, and technical decision-making forums.
• Drive improvements in system reliability, performance, observability, and cost efficiency.
• Ensure the platform meets enterprise requirements for security, privacy, and compliance.

Cross-Functional Technical Leadership

• Partner closely with Product Management to translate business needs into robust technical solutions.
• Collaborate with Engineering, HR, Finance, and platform teams to align integration patterns and dependencies.
• Act as the technical authority and escalation point for complex cross-system challenges.
• Establish, drive and influence partner engineering teams without direct authority.
• Leading/managing external engineering/dev resources.

Delivery Enablement & Execution

• Guide engineering teams through implementation of architectural patterns and critical system components.
• Ensure trade-offs are explicitly evaluated (speed vs. scale, customization vs. standardization).
• Partner in planning cycles to align technical execution with roadmap priorities.
• Remove technical blockers and drive clarity on feasible, incremental delivery paths.

Platform Evolution & Innovation

• Continuously evolve the platform to support new business scenarios, organizational models, and planning workflows.
• Identify opportunities to simplify architecture, reduce tool fragmentation, and standardize capabilities.
• Champion adoption of new Microsoft technologies while maintaining platform stability.
• Ensure the platform is positioned as the long-term system of record and orchestration layer for resource management.

Mentorship & Technical Leadership

• Mentor and develop senior engineers and emerging architects.
• Raise the technical bar across the team through design rigor and knowledge sharing.
• Foster a culture of ownership, accountability, and engineering excellence.

Requirements

Required Qualifications

• Bachelor'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 equivalent experience.

Preferred Qualifications

• Proficiency in AI-native development - working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor.
• Experience with data platforms, analytics systems, or BI tools including Fabric, Power BI, Dataverse.
• Proven track record designing and delivering large-scale, enterprise-grade platforms.
• Deep expertise in distributed systems, data architecture, and cloud-native design.
• Experience integrating complex enterprise systems (e.g., HR, Finance, or similar domains).
• Demonstrated ability to lead architecture across multiple teams and organizations.
• Strong judgment in making trade-offs between scalability, reliability, and speed.
• Communication skills; able to explain complex technical concepts to non-technical stakeholders.
• Experience building or scaling internal business platforms or operational systems.
• Understanding of workforce planning, headcount systems, or financial planning processes.
• Experience operating in highly sensitive data environments (privacy/compliance-heavy systems).

We Offer

• Competitive Salary: USD $142,800 - $274,800 per year (USD $188,000 - $304,200 per year in San Francisco Bay area and New York City metropolitan area)
• Full-Time Employment
• Hybrid Work Location: 3 days/week in-office in Redmond, WA
• Travel: Less than 25%

About the Company

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.

For more information on Microsoft’s commitment to diversity and inclusion, visit Microsoft’s Diversity and Inclusion.

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Application Process

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

For additional benefits and pay information, visit Microsoft’s Benefits and Pay.

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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