About The Position

Are you interested in solving the challenges of cloud-scale storage that supports the newest Artificial Intelligence (AI) workloads? Are you passionate about distributed systems, infrastructure services, massive scalability, and quality? 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 Software Engineer II in the 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 and 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.

Requirements

  • 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.
  • 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.

Nice To Haves

  • Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 2+ year(s) experience working in distributed cloud infrastructure development.
  • 2+ years(s) of proficiency in technical design, problem solving and debugging skills.
  • 2+ years(s) of demonstrated proficiency in one of the following: Distributed Systems, Control Systems, Algorithms and Data Structures for High Availability Systems Design, and designing systems at scale.
  • 2+ year(s) of demonstrated technical, cross-group collaboration and communication skills.

Responsibilities

  • Defines the high-level architecture and technical design of the system in a very dynamic environment.
  • Designs the system components, interfaces, protocols, data models, security and scalability aspects of the system, allowing phased upgrade from the existing platform.
  • Writes 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.
  • Provides high quality code reviews for engineers, guiding the team to ensure code meets high standards for maintainability, quality, and correctness.
  • Communicates and documents the system architecture and design clearly and effectively to the team and other stakeholders.
  • Participates in DevOps to provide operational support and to identify pain points and improvements in tooling and automation.
  • Uses AI to analyze, detect and fix quality and velocity improvements in Azure Storage Deployment.
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