Software Engineer II
Overview
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.
The Fabric AI team is hiring a Software Engineer II to contribute to the development of cutting-edge, AI-driven data products and infrastructure. The team comprises of a unique mix of AI engineers, data scientists, and service engineers. We are a fast pace and innovative team translating recent developments from AI research into products.
You will be an important part of a team of highly motivated and talented individuals, and this is a great opportunity to 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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
o 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
- Hands on experience in architectural design and large-scale systems
- 1+ year(s) technical experience working with large-scale cloud or distributed systems.
- DevOps Experience supporting production systems
- Knowledge of Data Science fundamentals and experience with generative AI to better understand our customer needs.
- Experience in working with distributed teams
- Passion to work in the transformational cloud/AI infrastructure and technologies
Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $83,600 - CAD $159,600 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 November 4, 2024.
#azdat
#azuredata
#ai
#datascience
Responsibilities
- 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. Identify and implement areas for improvement in the live-site process and tools.
- 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