- Bachelor's degree in Computer Science, Computer Engineering or a related technical discipline.
- 3+ years of software development experience.
- 3+ years of experiment with big data
- Proficiency in at least one modern programming language such as C, C++, C#, Java
- Object Oriented Design and familiarity with application and database programming under UNIX/Linux.
- Deep hands-on technical expertise, excellent verbal and written communication skills
- Experience with Agile (SCRUM, RUP, XP), OO modeling, web services, UNIX, middleware, database and data mining systems
- Experience mentoring and training the engineering community on complex technical issues
Amazon.com's Display Advertising team builds and manages systems with extreme high performance and availability. We serve and respond to hundreds of billions of requests annually, and have ambitions to grow that number several orders of magnitude, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. We delight in data, and are constantly trying to enrich our models and make more informed decisions using every bit and byte we have. Our current systems serve our current needs, but we are growing a new business within Amazon.com, and are looking for the sort of hands on leaders and developers who can design and build the systems that will take us into the future.
You're looking for a career where you'll be able to build, to deliver, and to impress. You look at problems holistically, and thrive on the intricate complexity of designing feedback loops and ecosystems. You want to work on projects where you are implementing solutions to real problems that require creative solutions and deep understanding of the problem space. You challenge yourself and others to constantly come up with better solutions. This highly visible role requires frequent communication with senior leadership in order to help shape and deliver on the product roadmap, and requires you to nimbly switch between strategic and tactical initiatives to achieve technical, business, and customer experience goals. You'll be given an opportunity to own and drive initiatives through the entire software stack -- from customer facing features, to algorithmic innovation, all the way down to the datasets that the back-end services consume.
About us together:
We're going to change the way that the advertising world measures, plans, and buys. Along the way, we're going to face seemingly impossible problems. We're going to argue about how to solve them, and we'll work together to find a solution that is superior to each of the proposals we came in with. We'll make tough decisions, but we'll all understand why. We'll be the dream team.
The ideal developer for this space will be highly quantitative, have great judgment and passion for building a great customer experience, be inventive, and have a strong track record of delivery. You also have a pragmatic approach and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams.
Some problem spaces we'll be working on:
MultiChannel Advertising - accessing this data and making decisions across large numbers of potential responses in a matter of milliseconds is a tough problem, and requires complex high scale engineering both online and offline. You may specialize in one area or another, but will need to consider the problem holistically. Today, we are a global operation with infrastructure in North America, Europe and Asia and we are looking to enter India and Brazil. Our platform is hosted in AWS and we serve ads for Mobile (mobile web, Amazon mobile APPs and 3rd Party Mobile Apps) and Desktop Web (both on Amazon owned and operated properties as well as third party sites via Ad Exchanges and Direct relationships). we are looking to continue to rearchitect the platform this year to better enable us to handle the demands of scaling the business enabling both enterprise managed- and self-service growth in addition to small business self-service growth.
OPTIMIZATION - we have a wealth of data already about the customers we interact with; what they've been shopping for, what they've recently purchased, etc. Couple that with an almost overwhelming amount of real-time data and the need to build the best models to predict which signals are likely to have an impact and which aren't. We're building platforms to automate the generation, validation, and publishing of models that incorporate all available data to predict performance against our customers' goals. You'll need to be both an engineer and scientist - you'll build the platforms to test and measure your hypotheses, iterate on your designs, and find innovative signals and solutions that fundamentally shift the effectiveness of our systems.
EXPERIMENTATION - advertisers spend a lot of money to develop their ads, and we want to ensure that those ads will drive the best performance possible. To do so, we need to develop the data, analysis and technical frameworks to enable incredibly precise, highly impactful decisions that directly impact the ad performance. Furthermore, the experimentation framework needs to provide the ability for our internal partners to configure and execute experiments on our algorithms and infrastructure with sufficiently low friction to encourage further experimentation.
You may already know if you're a fit, but perhaps you're worried about technology and experience requirements? Don't be - we're looking for smart, proven, engineers; if you're the right candidate, we're flexible.