Software Development Engineer - Amazon Ads, Recommendation Experience, Amazon Ads
DESCRIPTION
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing diverse team working to build a unique advertising group with a relentless focus on the customer, you’ve come to the right place.
We are looking for a Software Development Engineer to leverage our cloud services, unique data, the latest machine learning methods and big data technologies to develop solutions that help our self-service advertisers reach their full potential. You will have the opportunity to collaborate closely with our software leaders, learn new technologies, innovate, and contribute to new ads products that our global customers use daily.
As part of the Advertising Recommendation Optimization Experience team, you'll collaborate with a team of engineers, product managers, and data scientists to build systems that help advertisers achieve their business goals by delivering insights and recommendations via Console and APIs that are personalized to the advertiser, easy to understand, contextually relevant, simple to adopt, and fully optimized to grow the advertiser’s business. Our Success will require balancing big, industry changing goals with a bias for action and consistent delivery of advertiser value. We are growing very fast and breaking new ground, so the ideal candidate is invigorated by an environment of ambiguity and constant change, where they have an opportunity to influence our direction.
The systems you will build will scale and manage high-volume ad datasets, interface with external systems, and provide the machine learning intelligence that enables our distributed systems to make accurate decisions in real-time. If you want to be a part of a rapidly growing business and high performing team, have the opportunity to expand your technical skills into emerging technologies, and invent world class experiences for our customers, this is the team for you.
Great candidates for this role enjoy being challenged with discovering technical solutions to complex problems, diving deep into the details, and continuously evolve their technology skills. They will build both the technical and business acumen to deliver results, and gain the foresight to identify emerging technology opportunities for our customers.
Key job responsibilities
In this role, you will…
- Be heavily involved with design and product teams to understand needs, propose features, create early prototypes and transform them into impactful and exciting experiences.
- Propose innovative tools, frameworks, automations and processes that are used by the Recommendation Optimization (ROX) team and the larger FORGE organization.
- Write clean, maintainable code and perform peer code-reviews.
- Deep-dive into client or server systems to optimize for performance, maintainability, scalability, extensibility as needed.
- Mentor your team members to promote engineering excellence.
About the team
The Recommendation Optimization Experience (ROX) team helps advertisers achieve their business goals by delivering insights and recommendations via Console and APIs that are personalized to the advertiser, easy to understand, contextually relevant, simple to adopt, and fully optimized to grow the advertiser’s business.
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 programming with at least one software programming language
- Experience building complex software systems that have been successfully delivered to customers
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.