Senior Software Engineer, Fauna
Have you ever imagined a world with an infinite amount of storage available and accessible to everyone? A place where everyone in the world can easily access their data from anywhere at any time via any means (e.g., mobile phones, tablets, PCs, smart devices, etc.). Did you ever desire a universally accessible storage system to record all the knowledge known to mankind or to store all the data collected from all the scientists in the world for them to collaborate upon? Do you want to be part of a team that strives to bring these to reality?
If so, the Microsoft Azure Storage team is what you are looking for. We are building Microsoft’s cloud storage solution - Microsoft Azure Storage, which is a massively scalable, highly distributed, ubiquitously accessible storage system, designed to scale out and serve the entire world. We continue to have tremendous hockey stick growth, we have many Exabyte’s of data stored, and are designing and building systems for Zettabyte scale to support demand growth for the coming years. We are looking for engineers interested in bringing fresh ideas to improve hyperscale software quality. You will have opportunities to work on fast-paced teams and make high impact changes on a daily basis as you build world class services.
As Senior Software Engineer in the Azure Storage team, you will drive, lead the design, build, improve and support highly scalable, performant services that deliver highly reliable, secure and available access to storage for our customers. You will face challenges of monitoring, analyzing, and designing for ever-growing data needs of our customers and for ensuring data privacy, protection and compliance. This opportunity will allow you to develop your technical skills in cloud services and storage, accelerate career growth, and provide an opportunity to work in a highly dynamic, flexible, and globally distributed team.
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:
Other Requirements:
Preferred Qualifications:
#azurecorejobs
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Here is what this employer asked for. Sign in and we will fill in your half.
Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
Search by role, company, or anything a posting mentions.