Senior Software Engineer - Azure Storage Deployment

Are you passionate about distributed systems, infrastructure services, massive scalability, and quality? Are you interested in solving the challenges of cloud-scale storage that supports the newest AI workloads? Azure Storage is at the core of Azure, providing over 100 exabytes of raw capacity distributed over thousands of storage clusters in datacenters across 70 regions worldwide. Azure Storage provides the persistent storage layer in the cloud, powering millions of Azure virtual machines, holding exabytes of data powering the latest breakthroughs in AI.

We are looking to hire a Senior Software Engineer - Azure Storage Deployment team. You will work closely with Core Engineering Teams, Program Managers and DevOps Engineers to understand the business requirements and challenges, and to deliver a system that meets the expectations and needs of our first and third-party customers. You will also collaborate with other partners and stakeholders to ensure that the dependencies are identified and built, observability is implemented, and tooling & automation are made available to support operations.

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 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#, Java or Python.
  
  • OR equivalent experience.
• 4+ years of experience in technical design, problem solving and debugging skills.
• 2+ years of experience in one of the following: Distributed Systems, Control Systems, Algorithms and Data Structures for High Availability Systems Design, and designing systems at 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.

Additional/Preferred Qualifications: 

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:

Microsoft will accept applications for the role until January 27, 2025

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• Define the high-level architecture and technical design of the system in a very dynamic environment.
• Design the system components, interfaces, protocols, data models, security and scalability aspects of the system, allowing phased upgrade from the existing platform.
• Write exemplary code in Object-Oriented languages such as C++, C#, Java or Python, working with large scale distributed systems with quality, simplicity, and maintainability as core tenets.
• Provide high quality code reviews for engineers, guiding the team to ensure code meets high standards for maintainability, quality, and correctness.
• Ensure a high level of utilization of storage resources to minimize the cost and maximize profitability.
• Communicate and document the system architecture & design clearly and effectively to the team and other stakeholders.
• Partner with appropriate stakeholders to provide improvements to implementation, monitoring and robustness.
• Participate in DevOps to provide operational support and to identify pain points & improvements in tooling and automation.