Software Development Engineer II, Prime Video Language Experience - ATP Marketplace
Amazon
Bangalore, KA, IND
3d ago

Job summary

The Amazon Prime Video team is looking for a smart, motivated, and results-oriented Software Development Engineer. We are looking for candidates who are passionate about delivering world-class digital media experiences to our customers.

Successful candidates for this position will be self-starters with excellent problem solving skills who love getting things done.

Effective communication skills and a desire to tackle complex problems that emerge from driving a large business at Amazon are also a must.

As a SDE2, you will be involved in the requirements analysis, design and development of significant grounds up technical product that drives translation productivity and quality by achieving results through SDE's.

You will help influence the team’s technical and business strategy by making insightful contributions to priorities and approach, set the standard for engineering excellence, take the lead in identifying and solving ambiguous technical problems, architecture deficiencies, or areas where your team’s software bottlenecks the innovation of other teams and collaborate and influence other teams throughout the greater Amazon Prime Video organization.

To achieve results through others, you will demonstrate technical influence over the different individual teams, either via a collaborative software effort or by increasing their productivity and effectiveness by driving software engineering best practices.

You'll also lead design reviews for the org, actively participate in design reviews across Amazon Prime Video, provide insightful code reviews and actively mentor other engineers.

Key responsibilities include : - Design and develop prototypes based on exploration and research on new topics

  • Own critical path code for the system / service that you own.
  • Be a champion for new technologies, platforms : insist on the highest standards and service code that helps continuously improve availability and reliability of our service.
  • Create tech strategy / plans and commitments for yourself and your team, then deliver consistently against those commitments.
  • Drive the architecture and technology
  • Work closely with Applied Scientist in developing engineering solution and productionizing ML and Deep learning models across diverse domain(Text, Speech and Computer Vision)
  • Engage with customers.
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