The Azure CXP team's mission is to transform Microsoft Cloud customers into fans by analyzing and amplifying customer needs and driving the vision to improve Cloud quality, security, and reliability. The Azure Reliability team is dedicated to making Azure the world's safest and most reliable cloud by applying a Site Reliability Engineering (SRE) approach to Azure's most critical services and products.
Requirements
- 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 4+ years of experience in data science, analytics, or machine learning
- 4+ years of experience in developing solutions with Microsoft Power Platform (Power BI, Fabric, Power Automate & M365 Dataverse).
- Proven ability to design and evaluate machine learning models for business impact, apply advanced statistical techniques, and communicate insights effectively, combined with hands-on proficiency in SQL, Python, and R.
- Experience in developing data pipelines and reporting (Power BI, Power Automate, Synapse etc.) and/or working with ML models to analyze complex datasets using statistical techniques and providing actionable insights.
- Understanding and knowledge about big data and writing queries with Kusto/KQL.
- Technical knowledge of Azure, storage, file systems, networking
Responsibilities
- Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures.
- Lead by example and mentor others to produce extensible and maintainable code used across products and various program workstreams.
- Develop and evangelize data and insights, best practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.
- Drive continuous improvements in the architecture, code, features, operations and comprehensive user scenarios of products by leveraging end-to-end technical expertise.
- Make improvements to the product fundamentals and architecture, share knowledge and code, always looking for ways to make what we build useful to multiple teams and products.
- Demonstrate end-to-end expertise in distributed systems design, interactions between cloud technology layers.
- Provide technical leadership in change management ensuring deployments or changes shipped by Azure Services to production are safe and follow safe deployment practices.
Other
- Customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- 7+ years of experience managing cross-functional and/or cross-team projects.
- Excellent written and verbal technical communication skills and demonstrated ability to drive cross-team improvements
- Creative problem-solving & analytical skills to drive keen insights and identification of opportunities combined with a "sense of urgency" to develop solutions.
