Software Engineering at Microsoft
, , United States -
Full Time


Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Big Data, Distributed Systems, C, C++, C#, Java, JavaScript, Python, Code Reviews, Automated Testing, Continuous Integration, Performance, Reliability, Scalability, Monitoring, Observability

Industry

Software Development

Description
Design and develop reliable and scalable big data platform and storage solutions at large scale, and support sub second query response. Influence and collaborate across teams to bring best practices, architectures, standards, and methods for large-scale distributed systems, throughout the development cycles. Ensure high performance, reliability, and scalability of services used by millions of users globally. Drive engineering excellence through code reviews, automated testing, and continuous integration. Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. 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 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.
Responsibilities
Design and develop reliable and scalable big data platform and storage solutions. Ensure high performance, reliability, and scalability of services used by millions of users globally.
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