The Windows Servicing and Delivery (WSD) organization is looking to keep Windows customers secure, productive, and up to date by delivering a reliable and seamless servicing experience across current and future versions of Windows.
Requirements
- Coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, Scala, or Python
- 1+ year experience working with one or more big data or analytics technologies (e.g., Azure Data Factory, Microsoft Fabric, Azure Data Lake, Hadoop, Spark, Hive, Azure HDInsight, Azure Databricks, Azure Cosmos DB, NoSQL services, MongoDB)
- Experience with SQL/NoSQL, data analysis, data visualization (e.g., Power BI), and familiarity with data science, AI, or ML concepts
- Proficiency in coding, debugging, and solving complex technical problems
- Experience with customer success, security (including Zero Trust), and compliance concepts
- Familiarity with Azure-based SaaS services
- Experience with big-data technologies
Responsibilities
- Evaluate product and business requirements, estimate development effort, and contribute to technical design decisions.
- Design, implement, and maintain reporting features and data services in collaboration with cross-functional teams.
- Build and operate scalable, compliant data pipelines that support customer and internal reporting.
- Leverage AI-powered tools and techniques to accelerate development, improve code quality, and enhance data insights.
- Resolve outstanding bugs, improve system reliability, and enhance service performance and diagnosability.
- Operate under Scrum and agile principles, contributing to continuous improvement of engineering practices and processes.
- Work collaboratively with teammates and partner organizations across Microsoft to actively drive customer and business value.
Other
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience
- Ability to meet Microsoft, customer and/or government security screening requirements
- Ability to work effectively in a team environment across time zones and with diverse stakeholder groups
- Commitment to improving software quality and engineering excellence
- Strong verbal, written, and cross‑team collaboration skills
