Senior Software Engineer, EngThrive Insights - CoreAI

Microsoft • Redmond, WA

8d

About The Position

Join Microsoft's EngThrive Insights team, which builds data products that help tens of thousands of Microsoft engineers work more productively with AI. The team collects engineering signals across the software development lifecycle and partners with stakeholders from individual contributors to executives to translate data into tools and programs that improve AI-led productivity.

In this role, you will build and operate data services that help Microsoft engineers improve productivity and help the company ship software faster and with higher quality. The work offers opportunities to deepen expertise in data engineering and dimensional modeling, agentic AI and MCP server development, privacy-by-design metric APIs, and developer productivity frameworks such as DORA and SPACE. You will use AI tools to create developer insights while applying disciplined engineering, validation, and privacy practices.

This is a Software Engineering IC4 role. Applicants must meet Microsoft, customer, and/or government security screening requirements, including a Microsoft Cloud Background Check upon hire or transfer and every two years thereafter. The position is open for at least five days, with applications accepted on an ongoing basis until filled. The typical U.S. base pay range is USD $119,800–$234,700 per year. The range for specific work locations in the San Francisco Bay Area and New York City metropolitan area is USD $160,200–$261,000 per year. Certain roles may be eligible for benefits and other compensation.

Requirements

• Bachelor's degree in Computer Science or a related technical field and 8+ 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 the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

• Master's degree in Computer Science or a related technical field and 6+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
• Bachelor's degree in Computer Science or a related technical field and 8+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
• Experience with dimensional modeling and analytics engineering, such as star schemas, medallion architecture, and semantic layers.
• Experience with analytical query languages such as SQL, KQL (Kusto Query Language), and Azure Data Explorer, or similar languages.
• Experience developing applications on Spark-based big data platform technologies such as Databricks.
• Experience building REST APIs or MCP servers with web application frameworks.
• Experience building or integrating with LLM-powered tools, AI agents, or MCP (Model Context Protocol) servers.
• Experience with DevOps, CI/CD pipelines, infrastructure-as-code, and production monitoring or observability.
• Quantitative aptitude and ability to reason about metric definitions, data quality, and statistical validity.
• Familiarity with developer productivity metrics and frameworks such as DORA and SPACE.
• Experience collaborating with data and applied scientists.
• Demonstrated effective use of AI coding assistants in daily development workflow.

Responsibilities

• Partner with software development teams to understand how they evaluate and improve productivity, and use that understanding to design metrics and measurement approaches for EngThrive Insights.
• Build extensible, reliable, and maintainable artifacts, including data pipelines, schemas, and dashboards, using AI-first tools and engineering practices.
• Assess delivery readiness, minimize defects, and flag blockers early with clear timeline impacts and mitigation options.
• Identify gaps in the technology stack and help address them with practical solutions.
• Evaluate and responsibly reuse internal or open-source code when appropriate, while building awareness of tools beyond the immediate domain.
• Use AI tools across the software development lifecycle in a disciplined manner; review AI-generated changes, apply appropriate validation and engineering processes, and remain accountable for the final result.
• Translate user satisfaction into measurable feedback loops and secure, privacy-aware metrics.
• Incorporate quantitative signals such as usage and performance, as well as qualitative needs such as accessibility and globalization.

What This Job Offers

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