That's where you come in. As an SDE3 on PVPD's Data Platform, you'll be a technical leader for the online systems that turn raw customer behavior into fresh, reliable features and training datasets for our personalization and ranking models. You'll drive the architecture of 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 architect 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 set the technical direction for the data contracts that keep online serving and offline training consistent, and you'll be accountable for 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 operate with significant ambiguity and scope, often defining the problem before you solve it, and you'll raise the bar for the team through design reviews, mentorship of SDE2s and SDE1s, and close partnership with applied scientists and modeling teams across PV Personalization & Discovery to translate the signals that move the needle into reliable, production-grade data at incredible scale and speed. If you're excited about setting the technical direction for 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
- Architect and lead the build-out of 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.
- Define and 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.
- Set technical direction for 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 and operational excellence for these systems, including monitoring, alerting, freshness and availability SLAs, and graceful degradation when upstream signals lag.
- Take ambiguous, cross-team problem statements through design, launch, and measured impact on model and customer outcomes, raising the technical bar through design reviews and mentorship.
- Partner directly with applied scientists and modeling teams, influencing their roadmaps, to turn the signals that move the needle into reliable, production-grade data.
- Work in an agile environment to deliver high-quality software, and help shape the team's engineering practices and standards.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ 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
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 - 168,100.00 - 227,400.00 USD annually
