A fulfillment center can appear to be a chaotic place. With millions of items moving in and out of an area twice as large as your average theme park every day, a quick peek under the roof would reveal a manic scene. You would see associates, machinery, vehicles, robots, and packages flying about at break-neck speeds and accessing a breathtaking number of shelves and bins that store products. In reality, however, this activity is all highly organized and orchestrated by software, with each movement carefully planned and optimized. There are times when mistakes occur though, and products disappear, reappear in strange places, are damaged, or worse. When that happens, how does a fulfillment center operating at that size, speed, and scale recover gracefully and with minimal cost? How do we ensure that we meet our commitments to our customers and merchants? How do we find a needle in a haystack when we're constantly shuffling the haystack around? And how do we do it at extreme scale in an environment of constant growth?
That's where we come in, the AFT Entropy Management Technology team. Our goal is to prevent entropy in a system in which there are billions of transactions driven by human and robotic input across hundreds of millions of items every year. We must ensure that the virtual and physical state of the world is aligned inside hundreds of Amazon's fulfillment centers globally. When our job is done well, mistakes are corrected quickly, and products are always ready to sell and ship.
We operate at a nexus of machine learning, computer vision, robotics, and healthy measure of hard-earned expertise in operations to build automated, algorithmic approaches to solving these problems at minimal cost. We create cutting edge software, building automated processes and workflows in the most complex operational problem space in the business world. So what should you expect from this role?
•You will build new software services and tools from scratch and improve the design and implementation of existing systems.
•You will have the opportunity to take mission critical decisions on how we design production systems, what technology to use, and how best to solve problems that may have many solutions.
•You will be able to draw on the full range of AWS services as the backbone of your solutions.
•You will join a group of the best engineers in the world, and operate in a set of interconnected small teams with absolute ownership in your domain.
•You will work with research scientists who are experts in machine learning and computer vision, developing next generation intelligent systems.
•You will have the opportunity to work with senior technical leaders to review and improve your designs and solutions.
•You will share your enthusiasm and knowledge in performance, scalability, enterprise system architecture, and engineering excellence.
If you're ready to join our team, get in touch and we'll tell you more!
Learn more about Amazon's warehouses & software engineering:
Amazon is an Equal Opportunity Affirmative Action Employer - F/M/V/D
•Bachelor's degree in computer science or a related field
•At least 5+ years work experience
•Expertise in Java, C++, or a similar modern programming language
•Solid expertise in data structures and algorithms
•Experience with relational and non-relational databases such as Oracle and DynamoDB
•Obsession with quality, operational excellence, and customer experience
•Strong problem solving and analytical abilities
•Strong verbal and written communication skills and an ability to work in a team environment
•Experience with designing, building and deploying scalable; highly available systems
•Strong, object-oriented design and coding skills (Java preferably on a *nix platform)
•Knowledge of Perl or other scripting languages
•Experience with distributed (multi-tiered) systems, algorithms, and relational databases
•Expertise in service oriented architecture
•Ability to effectively articulate technical challenges and solutions
•Deal well with ambiguous/undefined problems; ability to think abstractly
Posted: October 16, 2018
Closes: December 15, 2018