Software Engineering 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 big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
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​​The Spark team in Fabric is looking to push the boundaries of what is possible, again. You can help rebuild the way analytics engines process data. We build services that enable big data developers to build mission critical applications with high levels of SLA . As an IC in our team, you will have an opportunity to work on and extend OSS technologies like Spark , Delta , Velox and Gluten as well as proprietary Microsoft services.

You will help design & implement software components, participate in code reviews, design reviews, assist customers as needed to be able to leverage the service and keep the service running. You will support a team of talented engineers aiming to improve the abilities of what is possible with Spark today with industry leading performance, integration, security and reliability.

This will require exploring the frontiers of what is possible. This role also requires working at the interface of HW and SW and experience working with GPUs is a plus.

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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

• Master's Degree in Computer Science or related technical field
• Seasoned 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.​

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

• Experience with database internals
• Experience with OSS components like the Spark eco system
• Experience with integrating software with GPUs
• Experience with building scalable cloud services
• Get excited by the challenge of hard technical problems
• Great curiosity and willingness to question

#azdat

#azuredata

​​#spark #fabricjobs #performance #swejobs #gpu​

• ​​Work with a team of passionate engineers to deliver success for customers
• Design, implement, test, and operate data services.
• Release features on time, with high quality, meeting functional, performance, scalability, and compliance requirements.
• Drive quality right from the design phase, incorporating best practices and engineering for testability.
• Solve problems relating to mission critical services and create solutions to prevent problem recurrence.
• Participate in product live site and operations.
• Mentor and grow our engineers to better deliver on the goals above
• Solve problems by always leading with deep passion and empathy for customers​
• Embody our culture and values