Do you enjoy solving very complex problems with simplest solutions? Are you excited building large-scale distributed systems? Do you enjoy leveraging technology to solve real world problems? Would you like to help us move forward scaling with the cloud and leveraging latest Big Data technologies? We are looking to hire in our Toronto office to work on design, implementation and successful deployment of the next generation Big Data and Machine Learning platform. Our system is mainly focused toward enabling our Forecasting organization to be successful with science experimentation and execution of the mission critical tasks on a daily basis.
You will be building large distributed systems that are reliable, maintainable and scalable. You will get your hands dirty designing full stack of software. You will be optimizing performance through novel approaches to be able to process billion of records in a few seconds! Your software will be used by engineers, scientists and analysts.
We are building a new suite of products aimed at making it easier than ever to experiment and run production data processing systems at petabyte-scale for batch and streaming applications. The suite of products is a complete ecosystem that contains solutions for data handling, Machine Learning model development, automation of the computing resource management, advanced scheduling and orchestration of data processing pipelines, and highly reliable and optimized execution.
Now research scientists, business analysts and application developers have all these technologies and more, integrated together into one coherent infrastructure and available to them with a click of a mouse. They can now concentrate their efforts on solving their business problems, rather than searching for data, maintaining their processing pipelines and debugging compatibility issues or worrying about encryption. Multi-layered architecture provides future proof replaceable components for data storage, highly scalable compute and for model experimentation and evaluation.
Basic Qualifications Bachelor's degree in Computer Science, Computer Engineering, or related field.
Fluency in Java, C, or C++.
5+ years of professional experience developing software.
Experience designing, developing, and deploying large-scale distributed systems.
1+ years of experience using relational database systems and SQL (preferably Oracle).
Experience with distributed version control systems in an enterprise environment.
Experience with object-oriented analysis and design (OOA/OOD).
Preferred Qualifications Master's degree in Computer Science, Computer Engineering, or related field.
3+ years of experience developing for a Linux or UNIX environment.
Experience with data mining software and techniques (Hadoop).
Experience leading and mentoring junior engineers on good software development practices and design reviews.
Understanding of supply chain fundamentals, including inventory management and optimization.
Excellent communication skills.
Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Posted: August 18, 2018
Closes: September 24, 2018