Software Engineering Manager
Bangalore, Karnataka, India
Microsoft
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Online Advertising is one of the fastest growing businesses on the Internet today, with about $70 billion of a $600 billion advertising market already online. Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user events data every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computationally intelligence and scalable algorithms. Eventually Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, data mining, machine learning, statistical modeling, optimization, linear algebra, and micro-economics, to solve challenging problems that arise in online advertising.
We are looking for a Software Engineering Manager who has shipped products or worked on large scale online services and has relevant software development experience. This is a rare opportunity to influence technology development in an important growth area at Microsoft. You will design, implement, analyze and tune complex algorithms operating on large datasets in collaboration with top scientists and engineers across Microsoft’s global R&D 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.
Responsibilities
- Design and development of large scale online and offline platform tools for Ads related products.
- Develop novel algorithms in the space of sponsored search to constantly improve the operational efficacy and monetization impact to stake holders .
- Architect new designs and develop features for cloud-based applications.
- Analyze Giga/Tera bytes of logs and create observation/opportunities and avenues of improvements in the system.
- Ideate on newer aspects of advertising avenues and augment the platform with richer products for the stake holders.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Strong command over manipulating data structures and developing efficient algorithms.
- Experience working with Azure, AWS or other cloud platforms.
- Experience with distributed systems design and implementation, especially microservices architecture.
- 2+ years people management experience.
Preferred Qualifications:
- Experience working with Big Data technologies like Hadoop, Spark, Cosmos etc. is preferred.
- BTech/MTech experience.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Computer Science Data Mining Distributed Systems Economics Engineering Hadoop Java JavaScript Linear algebra Machine Learning Microservices Python R R&D Spark Statistical modeling Statistics
Perks/benefits: Career development Medical leave Team events
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