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Software Development Engineer, Sports Data Platform - Prime Video Sports

Amazon is hiring a Software Development Engineer, Sports Data Platform - Prime Video Sports in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.
  • The role was posted within the past week.

AI in this role

What if you could build the systems that tell millions of sports fans exactly when something incredible just happened in a live game? That's the kind of problem you'll solve here.

We're looking for a Software Development Engineer in Bangalore, India, to join a team that powers real time sports experiences for one of the world's largest streaming platforms. You'll work across three high impact areas that directly shape how customers discover and engage with live sports content globally.

Key job responsibilities
You'll design and build systems that deliver real time notifications to fans during live sporting events. Think score updates, close game alerts, and live activity feeds across multiple devices. You'll work with real time data pipelines that process live sports signals and make decisions about what to send, when, and to whom, all at global scale with low latency requirements.

You'll build and improve the data matching platform that connects structured sports data (leagues, teams, players, tournaments) to the content catalog. This is the foundation that powers accurate content placement, search, and personalized recommendations for customers across 240+ countries and territories.

A day in the life
You'll own the design, implementation, and operation of distributed systems that handle high throughput, real time data. You'll write clean, maintainable code, participate in design reviews, and drive engineering best practices. You'll collaborate with product managers, designers, and partner engineering teams across time zones to define requirements and deliver solutions to ambiguous problems.

This is a chance to work on systems where your code has immediate, visible impact. When a last minute goal is scored and millions of fans get notified within seconds, that's your system at work. The problem space is technically rich: real time event processing, entity resolution at scale, and intelligent notification delivery across a global customer base.

Sports on streaming is growing fast, and the engineering challenges here are genuinely interesting. You'll have the opportunity to shape technical direction, contribute to architectural decisions, and see your work come alive on game day.

If you enjoy building low latency, high scale systems and want your work to directly delight customers in real time, we'd love to hear from you.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience building complex software systems that have been successfully delivered to customers
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Software Development Engineer, Sports Data Platform - Prime Video Sports at Amazon rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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