Software Engineer II at Microsoft
Hyderabad, Telangana, India -
Full Time


Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Big Data, Machine Learning, Deep Learning, Distributed Systems, Streaming Systems, Online Advertising, Data Transformation, Low Latency, High Throughput

Industry

Software Development

Description
Are you interested in building the next state-of-the-art AI infrastructure to fuel Microsoft's rapidly growing multi-billion online advertiser business? Are you passionate about using big data and machine learning to solve real world customer problems and delight hundreds of millions of Bing users? How about working in a fun and fast paced environment where engineers are empowered to innovate? If so, please come join our Microsoft Ads team. We engineer massively scalable streaming systems and services that form the backbone of Bing's ~$10B monetization engine, covering all aspects of online advertising such as advertiser facing demand ingestion/management/insights, preparation and transformation of huge volume of advertising data to be served, and performing low latency and high throughput online serving. Tough competition in the industry has created enormous opportunities as well as technical challenges in Big Data, Distributed Systems, and Machine Learning/Deep Learning. If you would like to tackle these challenges and be part of a winning team, we are the right place for you!   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.  
Responsibilities
The role involves engineering scalable streaming systems and services for Bing's monetization engine. You will tackle challenges in Big Data, Distributed Systems, and Machine Learning.
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