Microsoft is a company where 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.
As a Senior Software Engineer working on the Synapse Data Science engineering team for Microsoft Fabric, you will be 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 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.
Additionally, the Azure Data 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.
You will be an important part of a team of highly motivated and talented individuals, and this is a great opportunity 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.

QUALIFICATIONS

Required/Minimum Qualifications

• 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.
• Two years professional experience in building highly complex cloud software services at internet scale.

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

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years 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 AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

OR equivalent experience.

• Experience in working with distributed teams
• Hands on experience in architectural design and large-scale systems
• DevOps Experience supporting production systems
• Interest in working in the transformational cloud/AI infrastructure and technologies
• Understanding of Data Science and AI fundamentals to better understand our customer needs

Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $108,100 - CAD $199,700 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, 7th 2025.

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

• Design and implement microservices to enable real time, highly scalable, performant, and sustainable solutions.
• Deliver well-tested features across different services and platforms.
• 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.
• Take ownership of service health including monitoring, metrics, telemetry. Identify and implement areas for improvement in the live-site process and tools.
• Lead major service refactorings that affect all the DS/AI components our team owns.
• Innovate for both customer use cases and overall health of the service.
• Work in a culture of continuous improvement, adaptation, reflection, and growth.
• Embody our culture and values