Microsoft Core AI is building foundational platforms, services, and developer experiences for the next generation of Generative AI applications. The CloudMine team specifically needs to evolve its data mining framework and pipelines to support security, compliance, and productivity analyses across major Microsoft product lines like Windows and Azure.
Requirements
- 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 1+ years of experience working on data mining and data pipelines.
- Experience and expertise working with Microsoft Azure and data products such as Microsoft Fabric, Databricks, or similar.
Responsibilities
- Architect 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.
- Build Foundational Capabilities: Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation.
- Operational Excellence: Drive operational excellence in managing and operating large-scale data systems with a high bar for data quality, stability, security and privacy. Set high standards for reliability and performance.
- help architect and optimize scalable data pipelines and mining frameworks, ensuring they are robust, efficient, and secure.
- curate high-quality datasets that support critical decision-making across multiple teams and continuously improve data delivery and system responsiveness.
- developing new data collectors and integrations across engineering systems, and ensuring the security, reliability, and compliance of the data platform itself.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years
- A collaborative mindset and eagerness to work across disciplines will be key to thriving in this position.
- Success in this role requires versatility across software engineering and data engineering.
- You should bring a strong passion for data quality, performance, and impact, along with a passion working with large-scale data systems and distributed architectures.
