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Software Engineer II

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Contract: 
Salary: 
84 - 160K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's Degree in Computer Science or related field, 2+ years technical engineering experience, Coding skills in C, C++, C#, Java, JavaScript or Python, Experience in architectural design of large systems, DevOps experience preferred.

Key responsabilities:

  • Design and implement microservices for real-time solutions
  • Deliver well-tested features across services and platforms
  • Collaborate on deliverables with team members
  • Monitor live-site services, identifying improvement areas
  • Engage in a culture of continuous adaptation and growth
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Microsoft Computer Software / SaaS Large
10001 Employees
See more Microsoft offers

Job description

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.

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

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
  • 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.

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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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Adaptability
  • Collaboration
  • Problem Solving

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