Senior Software Engineer - CoreAI
Build and optimize scalable data pipelines and mining frameworks that power AI-driven engineering insights across Microsoft’s product lines, using languages like C++, C#, or Python.
- Compensation
- $119.8K–$234.7K / yr
- Location
- United States, Washington, Redmond
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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
Nice to have
- 3+ years of experience working on data mining and data pipelines.
- 2+ years of experience in leading and driving engineering projects, planning, executing, and overseeing engineering initiatives with a focus on collaboration, efficiency, and achieving key milestones.
- Experience and expertise working with Microsoft Azure and data products such as Microsoft Fabric, Databricks, or similar.
Full description
Overview
Core AI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.
Within Core AI, the CloudMine team plays a critical role in enabling engineering excellence across Microsoft. We build and operate the data platform that serves key engineering artifacts—such as pull requests, work items, and build telemetry—to production teams. This data fuels essential security, compliance, and productivity analyses across Windows, Azure, and other major product lines.
As a Senior Software Engineer on the CloudMine team, you will be instrumental in designing, maintaining, and evolving the data mining framework and pipelines that support a wide range of engineering initiatives—from Windows shiproom operations to security and compliance enforcement, engineering productivity programs, and AI impact analyses.
In this role, you will architect and optimize scalable data pipelines and mining frameworks, ensuring they are robust, efficient, and secure. You’ll curate high-quality datasets that support critical decision-making across multiple teams, while also conducting in-depth performance analyses to continuously improve data delivery and system responsiveness. Your work will include developing new data collectors and integrations across engineering systems, and ensuring the security, reliability, and compliance of the data platform itself.
Success in this role requires versatility across software engineering, data engineering, and analytics. You should bring a strong passion for data quality, performance, and impact, along with experience working with large-scale data systems and distributed architectures. A collaborative mindset and eagerness to work across teams and disciplines will be key to thriving in this position.
At Microsoft, our 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.
ResponsibilitiesArchitect for Scale and Sustainability: Design and evolve durable, scalable system architectures that balance long-term maintainability with short-term delivery needs, making thoughtful engineering trade-offs.
Direct Impact: Leads by example and work with others to produce extensible and maintainable code used across the platform. Creates and applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices.