Software Engineer

Share job

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 in 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.​

​​The Synapse Data Science team provides the Data Science and Artificial Intelligence experiences in Microsoft Fabric, providing Fabric customers with complete end-to-end data science workflows for the purpose of data enrichment and business insights. Join our team to help build the services that power these experiences.

We are expanding our team to bring together the best in big data management, machine learning, and artificial intelligence. We work with and contribute to state-of-the-art open-source packages, including Apache Spark, Koalas, Pandas, Dask, Sklearn, MLFlow, TensorFlow, and PyTorch, as well as generative AI. We combine those with our own tech to build secure, reliable, scalable, and high-performance machine learning platforms. With our platforms, we strive to enable our customers to follow the principles of responsible AI: Fairness, Inclusiveness, Reliability & Safety, Privacy & Security, Transparency, Accountability.

You will be an important part of a team of highly motivated and talented individuals and this is a great opportunity to challenge yourself, grow your career and be part of the fastest growing field in computer science and beyond. 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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required/Minimum Qualifications:

• ​​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, or Python OR equivalent experience.

Additional or preferred qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to C, C++, C#, Java, JavaScript, or Python
  OR Master’s Degree in Computer Science or related technical field with proven experience in coding languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.​
• Experience in GenAI, machine learning, high performance computing, or distributed big data systems.
• Experience with distributed machine learning techniques such as MLflow, Horovod, PyTorch, and TensorFlow
• Experience with industrial machine learning applications
• Experience working with open-source computing frameworks such as Spark and Hadoop
• Experience participating in open-source development
• Hands-on project experiences in big data analysis or distributed computing

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  

Software Engineering IC2 - The typical base pay range for this role across Canada is CAD $67,100 - CAD $131,400 per year.

Find additional pay information here:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft will accept applications for the role until May 11, 2025.

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.

#azdat

#azuredata

​​#ai #datascience ​

• Design and develop high performance GenAI products for cloud offerings.
• Solve hard technical challenges in AI and distributed computing.
• Use engineering best practices throughout the software development lifecycle to establish maintainable, reliable, and secure systems.
• Collaborate with teammates in various roles to plan and execute on key deliverables.
• Participate in rotating livesite shifts, working on call to monitor system/product feature/service for degradation, downtime, or interruptions.
• Work in a culture of continuous improvement, adaptation, reflection, and growth.