​​senior Software Engineer​

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 to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

​​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 Open Source Software (OSS) offerings.​

In the cloud-based world, running our Azure service reliably and efficiently is key to Microsoft's growth and future. Azure SQL is one of the biggest services hosted by Azure. We are looking for a Senior Software Engineer to join our team to help build trustworthy tooling to support faster troubleshooting and mitigation to help us keep the service running smoothly, prevent and reduce outages and increase customer satisfaction. In constantly improving our scalability, reliability and security, we aim to monitor our large scale service in real time, reduce noise in the system and have auto tuning solutions and self-remediation via bots. We are building intelligent and smart diagnostics infrastructure to auto detect and fix problems that our customers face with their Azure resources. It involves building large scale low latency distributed service, building framework for adding diagnostics to make inferences, and using intelligence to predict problems and building tools to troubleshoot and mitigate issues faster for customers. The goal is to build services that delights our customers, solves their problems as quickly as possible and prevent them proactively. We collaborate with data scientists on innovative solutions to improve customer experience with Azure SQL by leveraging this telemetry data and pipeline in new ways.

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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.

You will be empowered to have ownership for your areas including design, development, testing, and instrumentation.

• Contribute to the design, building, adaptation, execution, and maintenance of Tools and services in full-stack solutions in Azure SQL.
• Effective collaboration within the SQL organization and with other product groups across Microsoft in the design and implementation of software solutions.
• Design, implement and operate products and features with focus towards modularity, component reuse, performance/reliability in close cooperation with product, design, and engineering teams.
• Own end-to-end service solution, code quality and efficiency.
• Use and promote technologies, tools and engineering practices based on the latest industry trends, market, and user dynamics. Understand product design and architecture, across the full SQL ecosystem.
• Contribute to product vision and roadmap by bringing innovation to SQL tooling ecosystem.
• Build and maintain data pipelines and platforms that ingest, process, store, and serve large volumes of structured and unstructured data for analysis and reporting purposes.
• Act as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Alert stakeholders as to the status and gains approval to restore system/product/service for simple problems. Respond within Service Level Agreement (SLA) timeframe. Escalates issues to appropriate owners.
• Embody our culture and values