New 
Senior Software Engineer
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Aug 14, 2025 | |
|
OverviewCloud computing is a highly competitive and rapidly growing market and is one of the most important initiatives for Microsoft. Customers put their big bet on Azure Cloud Platform to run their business. The Azure Core Insights team is a growing Agile team seeking a passionate candidate who possesses both machine learning and data science expertise, along with development skills, and a strong interest in building Artificial Intelligence for IT Operations (AIOps) solutions to address the unique challenges in cloud environments and drive the next generation of cloud infrastructure. As a member of our team, you will help design and implement anomaly detection, automatic triaging and correlation, and causal inference models to deliver preventive insights that improve the availability, reliability, and efficiency of the Azure cloud system. These efforts will be based on statistics, artificial intelligence and machine learning (AI/ML), large language models (LLM), and artificial intelligence agents (AI Agent). You will help drive actions based on these insights and integrate AI/ML, LLM, and AI Agent technologies into our daily operations by collaborating with the research team, engineering team, and program management team. The ideal candidate should be passionate about computer science, AI/ML, LLM, and AI Agent technologies, and about transforming data into meaningful insights that lead to actionable outcomes. If you've dreamed of having a global impact and love working with data and AI to create substantial business value, we'd love to talk to you! Microsoft's 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.
ResponsibilitiesShare accountability of a wide array of assets and be comfortable with learning a broad array of technologies.Independently design and implement anomaly detection, auto-triaging/correlation, and causal inference model to deliver preventive insights to improve Azure cloud system availability, reliability, and efficiency.Work with partner teams to integrate the Insights into Azure daily dev operations and Azure system for automatic mitigation and repairs.Contribute towards driving visibility into customer impacting on Virtual Machines or Containers or higher-level Azure services built on top of Virtual Machines.Assist with building an automated data quality solution to detect problems in downstream dependencies and take automated action to correct them.Look for opportunities to share learnings and tools broadly within Microsoft and beyond. Specifically, our team does cutting-edge work with Azure Data Explorer (Kusto) and makes a point at contributing back to the larger environment. | |