Software Development Engineer 2, Prime Video Personalization and Discovery

Prime Video & Amazon MGM Studios; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon.com Services LLC in Seattle, WA is seeking an SDE2 for Prime Video Personalization & Discovery Data Platform. You will build real-time data pipelines and feature-serving systems, delivering signals to personalization models and training datasets.

You will own data contracts, ensure reliability, and partner with scientists to optimize model performance. The role focuses on low-latency streaming, scalable data infrastructure, and end-to-end ownership from design to deployment in an agile

Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of design or architecture experience of large systems
• 1+ years of software development engineer or related occupational experience
• 1+ years designing and developing large-scale, multi-tiered, distributed software applications using C#, C++, Java, or Perl
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in CS, Engineering, Mathematics, or a related field
• Experience programming with at least one of the listed languages

Responsibilities

• Build and operate online feature-serving systems delivering customer-behavior signals to PVPD models within a strict latency budget
• Design and scale near-real-time streaming pipelines from user actions to model-ready features in seconds
• Build unified datasets and enabler data products to lift downstream models, experiments, and evaluations
• Own data contracts keeping training and serving in sync across production and offline
• Ensure production reliability with monitoring, alerting, freshness and SLA commitments
• Take work from ambiguous problem to launch and measured impact on models and customer outcomes
• Collaborate with applied scientists and modeling teams to turn signals into reliable data
• Work in an agile environment to deliver high-quality software

Skills

C#

C++

Java

Perl

OO Design

Distributed Systems

Education

Bachelor's degree in CS/Engineering/Math

Bachelor's degree or foreign equivalent

Job description

Description

Every great recommendation on Prime Video starts with data. When millions of customers open the app to decide what to watch next, the quality of what they see depends on how fresh, complete, and reliable the data behind the scenes is. PV Personalization & Discovery helps customers find new titles and rediscover the content they love, delivering personalized, relevant recommendations tailored to each customer's context, schedule, and environment. And behind every one of those recommendations is the data platform that makes them possible.

Description

Every great recommendation on Prime Video starts with data. When millions of customers open the app to decide what to watch next, the quality of what they see depends on how fresh, complete, and reliable the data behind the scenes is. PV Personalization & Discovery helps customers find new titles and rediscover the content they love, delivering personalized, relevant recommendations tailored to each customer's context, schedule, and environment. And behind every one of those recommendations is the data platform that makes them possible. That's where you come in. As an SDE2 on PVPD's Data Platform, you'll build and own the online systems that turn raw customer behavior into fresh, reliable features and training datasets for our personalization and ranking models. You'll work on the near-real-time signal path that takes a customer's latest actions (a stream, a click, a search) and makes them available to models in seconds instead of hours, directly shaping what customers see on the storefront while their intent is still fresh. This is a systems-heavy role at the intersection of data and scale. You'll design and operate low-latency feature-serving systems, streaming ingestion and processing pipelines, and the unified, extensible datasets that let a single investment in data quality, coverage, and freshness lift every downstream recommendation model, experiment, and science evaluation at once. You'll own the data contracts that keep online serving and offline training consistent, and the production reliability of these systems (freshness SLAs, availability, monitoring, and graceful degradation when upstream signals lag) because once a feature or dataset becomes a model dependency, it has to be trustworthy every time. You'll collaborate with a talented team of engineers and scientists across PV Personalization & Discovery: partnering with applied scientists to understand which signals move the needle, and with modeling teams to deliver those signals and datasets at incredible scale and speed. If you're excited about building the real-time data foundations and enabler datasets that power AI-first personalization for one of the largest streaming audiences in the world, we'd love to talk.

Key job responsibilities

• Build and operate the online feature-serving systems that deliver customer-behavior signals to Prime Video's personalization and ranking models within a strict latency budget.
• Design and scale near-real-time streaming pipelines that take a customer's latest actions (e.g. streams, clicks, searches) from event to model-ready feature in seconds, meeting freshness SLAs end to end.
• Build the unified, extensible datasets and enabler data products that let a single investment in coverage, quality, and freshness lift every downstream model, experiment, and science evaluation at once.
• Own the data contracts and online/offline consistency that keep training and serving in sync, so features behave the same in production as they do in offline evaluation.
• Own production reliability for these systems including monitoring, alerting, freshness and availability SLAs, and graceful degradation when upstream signals lag.
• Take work from an ambiguous problem statement through design, launch, and measured impact on model and customer outcomes.
• Partner directly with applied scientists and modeling teams to turn the signals that move the needle into reliable, production-grade data.
• Work in an agile environment to deliver high-quality software.

About The Team

In Prime Video Personalization and Discovery, our mission is to show a customer the right video content, in the right place, at the right time. We tailor PV for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find something to watch and enjoy on every visit. We delight Prime subscribers by leaning in to the Amazon originals and exclusives that shape our brand and differentiate us. We grow our relationships with customers by leveraging our deep understanding of them to provide relevant and timely recommendations.

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
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10553194