Campus Pride Jobs

Description

Amazon’s Automated Marketing & Events organization is building the Internet’s largest-scale Search Marketing systems worldwide. The team is responsible for a number of business-critical systems that generates, target, measures and optimizes hundreds of millions of search engine ad placements and organic search listings (SERPs). We bring prospective customers who start their shopping journeys on search engines to Amazon through our ML-driven software and systems. We apply best-in-class digital marketing optimization techniques like search engine optimization (SEO) to process and optimize billions of webpages, images, videos and content snippets to improve Amazon’s organic discoverability. We routinely solve challenges related to large-scale distributed services, applied science (ML/NLP), big data systems and web search services. Cutting edge technology and algorithms including data mining, statistical modeling, and machine learning are the core of our business. The ideal candidate for our team is a thinker and a doer: someone who loves sophisticated algorithms and mathematical precision, but at the same time enjoys implementing and scaling real systems, and is motivated by the prospect of spectacular business returns.

Key job responsibilities

• Architect, design and build large-scale, closed-loop optimization systems that power Amazon websites.

• Develop smart decision engines based on ML models developed by machine learning and applied scientists.

• Own the delivery of end-to-end, full stack solutions.

• Make sound engineering decisions and improve software development practices.

• Build analytics platforms to process large volumes of traffic data, trends in search terms, and other key metrics.

• Build experimentation frameworks to drive continuous testing of SEO concepts.

• Contribute to the team’s technical vision and roadmap.

A day in the life

As a Sr SDE, you will be recognized as a technical leader across our organization and lead cross-team development to solve large-scale big data problems and build distributed science-driven systems. You will oversee the architecture, design and development of our full stack systems, which gives you the opportunity to work with a wide range of customer facing technologies and collaborate with teams of smart engineers. You will collaborate directly with senior leadership and have direct influence over teams. You will build science-driven solutions and large-scale big data systems to bring customers who start shopping journeys on search engines to Amazon.

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

• Bachelor's degree in computer science or equivalent

Preferred Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Master's degree in computer science or equivalent

• • Knowledge of big data system architecture & administration.
• • Knowledge in machine learning.
• • Knowledge of AWS or other cloud technologies.
• • Experience with developing large-scale website platforms or web applications.
• • Experience in developing analytics platforms or Web-scale search engines.