Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
The Polaris Distributed Query Processor team within Fabric Data Warehouse is seeking a Senior Software Engineer to help develop the next generation of features, propelling the component into its next evolutionary stage. Polaris is a cloud-native, highly scalable query processor that facilitates analytics over structured data at petabyte scale. It boasts built-in Workload Management capabilities, and we aim to make the management of complex multi-query workloads fully autonomous.
As a Senior Software Engineer, you will: • Design and develop highly reliable and scalable distributed systems. • Take end-to-end ownership of features, including design, development, testing, deployment, telemetry, live site mitigations, and hotfixes. • Participate in design and roadmap discussions. • Work closely with team members to unblock each other and share learnings and knowledge.
Required Qualifications: • Bachelor's Degree in Computer Science or related technical field • Advanced technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications: • Seasoned years of experience building commercial grade, robust scalable solutions • Experience developing Cloud online services or extensive experience using cloud online services • Experience in Distributed Big Data systems is a plus • Strong verbal and written communication skills
Join our highly innovative and driven team as we constantly push the boundaries of our product in this exciting journey. Microsoft values diversity and seeks out different perspectives to better serve our customers and tap into the collective power of everyone in the company.