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Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture ison embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
This is a Research Efficiency Platform team which provides leadership, direction, and accountability for Security Researchers tools and platforms, CICD, AI/ML, Virtualization and infrastructure, and secured development standards. You will help conduct business reviews andour production services. Strong collaboration skills will beto work closely with other engineering teams to ensure services and systems are highly stable, performant, and meet the expectations of internal and external customers and users.
and engineering systems. You will work in collaboration with other Engineers, Researchers, Data Scientists and Architects to continue to learn and build your skill sets on how to innovate the design approach of said pipelines and services.
Skills Required
Preferred Experiences and Technologies:
Ability to meet Microsoft, customer and/or government security screening requirements arefor this role. These requirements include, but are not limited to, the following specialized security screenings:
to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
and manage relationships across organizational boundaries. Proven experience dealing with large scale data architecture, operational architecture and or network Architecture Proven experience creating distributed systems tools of moderate to high complexity.
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