​​Software Engineer II​

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 OSS offerings.​ 

​​Azure PostgreSQL is a rapidly growing team inside Azure Data and Microsoft and we're looking for a Software Engineer who is enthusiastic about solving engineering problems through code with the help of AI. Azure PostgreSQL platform team is working on re imagining our DevOps tooling with the help of AI to significantly reduce the human time that we spend on resolving some of the day to day devops problems by leveraging LLM and Agentic AI. If you love the engineering challenges on designing and delivering cutting-edge, cloud-scale distributed systems technologies, this role is for you!  

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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. 

Required/Minimum Qualifications 

• ​​Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.​ 

Other Requirements

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. 

Preferred/Additional Qualifications 

• ​​Master's Degree in Computer Science or related technical field AND 2+ 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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.​ 

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for this role until June 15th, 2025.

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​​#azuredata #postgres #postgresai​ 

• ​​Creates and implements code for a product, service, or feature, reusing code as applicable.
• Contributes to the development of automation within production and deployment of a complex product feature.
• Conducts and creates experimentation to determine the effectiveness of changes for prototyping and testing features, and applies findings back into development.​ 

Embody our culture and values