Software Engineer 2

Within Azure Data, the databases team builds and maintains Microsoft’s operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings.

We are a team of passionate engineers working on building and scaling the capacity management infrastructure for Azure SQL DB.This team is hiring a Software Engineer to help with driving reliability, performance, security, and operational excellence and enable scalable cloud database experiences by owning platform primitives, microservices, and end-to-end service health for mission-critical SQL DB workloads.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

• Design, build, and operate scalable services that manage capacity allocation, placement, and lifecycle for Azure SQL Database workloads.
• Improve service reliability, performance, and availability through automation, observability, and incident prevention.
• Partner with cross-functional teams across Azure Data to deliver resilient, customer-centric solutions for mission-critical workloads.
• Leverage modern engineering practices including CI/CD, test automation, telemetry-driven development, and DevOps workflows.
• Continuously improve developer productivity through tooling, frameworks, and automation.

Embody our culture and values

Responsibilities

• Design, build, and operate scalable services that manage capacity allocation, placement, and lifecycle for Azure SQL Database workloads.
• Improve service reliability, performance, and availability through automation, observability, and incident prevention.
• Partner with cross-functional teams across Azure Data to deliver resilient, customer-centric solutions for mission-critical workloads.
• Leverage modern engineering practices including CI/CD, test automation, telemetry-driven development, and DevOps workflows.
• Continuously improve developer productivity through tooling, frameworks, and automation.

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience., Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter., * Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include 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 tobuild the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.