Senior Software Engineer
Microsoft
Senior Software Engineer
Multiple Locations, United States
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Overview
Azure is a rapidly expanding and evolving cloud platform. The Azure Fleet Resource Lifecycle Management Team (formerly known as Capacity Infrastructure Service Team) is tasked with constructing the foundation and core of this platform using cutting-edge hardware and providing the infrastructure necessary for hosting worldwide customer applications. Our mission is to empower cloud services to obtain the resources they need reliably and seamlessly to successfully run their business at scale.
We have numerous exciting opportunities across different areas to grow the capabilities and scale of our platform by orders of magnitude. Our team fosters a collaborative environment and builds upon one-another's ideas, to deliver world-class customer value at a rapid pace. We empower engineers to develop, deliver and own creative solutions. This is a fun environment and a great opportunity to work on something highly strategic to Microsoft!
Join the Azure Fleet Resource Lifecycle Management team as a Senior Software Engineer and contribute to the backbone of Microsoft Cloud. Help us innovate and grow the cloud further!
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.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline 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.
- 3+ years of experience working with distributed systems.
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 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.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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Responsibilities
- Delivery of a reliable, scalable, secure Capacity Infrastructure Platform solution for first and third party customers, contributing technical expertise throughout development stages.
- Delivery of a fully functional interactive capacity lifecycle management experience.
- Continuously drive improvement across teams based on the capacity lifecycle data.
- Leads by example within the team by producing extensible and maintainable. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI). Applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices.
- Drives creation and conducting of experimentation to determine the effectiveness of changes, monitors developments for prototyping and testing products, and interprets results from experimentation.