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 OSS offerings.​

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​​​​Join our dynamic team at Azure Database for PostgreSQL, one of Microsoft Azure's latest additions to its exceptional lineup of relational database services. As we continue to expand our offerings and meet the ever-growing demands of our customers, we are seeking a Software Engineer who thrives on the challenges that come with running online services.  

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As a Software Engineer on the Azure Database for PostgreSQL team, you contribute to the design, development, testing, and iteration of well‑scoped features that improve customer experiences and support product adoption. With guidance from senior engineers, you’ll apply data‑driven thinking and experimentation to validate ideas, learn from outcomes, and continuously improve service quality. This role offers the opportunity to build strong product engineering skills, gain hands‑on experience with cloud database technologies, and collaborate in a cross‑functional environment to deliver solutions that directly support customer success and business growth.

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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.

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‍Responsibilities

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• ​​Write secure, maintainable, and reusable code following best practices and modern design principles.  
• Learn to implement features and services with guidance, applying coding standards and patterns to ensure quality and stability.  
• Collaborate with team members and stakeholders to clarify requirements, integrate feedback, and iterate on designs and implementations.  
• Participate in code reviews to uphold standards and improve reliability while learning from feedback.
• Continuously seek new knowledge, adapt to emerging technologies, and apply solutions that enhance performance, scalability, and reliability in a cloud environment.
• Take accountability as a Designated Responsible Individual (DRI), participate in on-call rotations to monitor system health and initiate recovery actions when needed.​

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‍Qualifications‍

Required/Minimum Qualifications

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• ​​Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, GO, or Python,
  • OR equivalent experience.​

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Job Requirements: Other & Additional  

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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.

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Preferred/Additional Qualifications

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• ​​1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, GO, or Python.
• Familiarity with distributed systems and cloud platforms (e.g., Azure, AWS, GCP), including monitoring performance and telemetry to drive continuous improvements.
• Knowledge of update servicing, security fundamentals, or large‑scale system design.
• Exposure to AI‑powered development tools or building intelligent features.​

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