DevOps Engineer at Microsoft

DevOps Engineer Details

June 28, 2019, 4:51 p.m.
Engineering
Individual Contributor
Full-Time
Redmond, WA
and external team Microsoft. Yes, you
Do you love developing and working on highly scalable cloud services? Do you have a passion for enabling your fellow developer? This is an opportunity to be a part of a different kind of cloud at Microsoft. Yes, you read that right, a cloud of macs at Microsoft. Every day we enable internal and external teams to build and test the best damn apps in the business. As a service we've reached a tipping point were the previous architecture is unable to cope with demand. That's where you come in, with your help we're going to re-build it from the ground up. Microservices, cloud backed, well supported, greenfield, and fast paced. You will help app developers deliver what's next at the speed of life.

• Work as an integrated member of the dev team to incorporate efficient, cost effective and scalable automation into the greenfield engineering efforts. • Use your background in Dev/Ops to drive new technologies and processes growing productivity. • Evaluate and improve deployed environments using your expertise in security, networking, public cloud platforms. • Automate and measure everything that matters on the platform. Make decisions to decide the focus of future work. • Have fun doing it. Responsibilities, getting things done and solving hard problems all the while working with cool people
Required qualifications: o 3+ years of experience in configuration management (e.g. ansible, chef). o 3+ years of experience with containerization technologies (e.g. Docker, k8s, AKS). o 3+ years experience with cloud-based infrastructure and services such as Microsoft Azure. o 2+ years experience with Administration of MacOS • 3+ Years of development and scripting background (e.g. bash, python). Preferred qualifications: • In depth understanding of distributed systems, as it relates to customer facing applications in the cloud. • In depth understanding of coding principles and strongly typed languages
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