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Senior Software Development Engineer- Forecasting At Amazon.com

Location: Toronto, Ontario

Job Description

Job Description

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
8+ years professional experience developing software
Experience designing, developing, and deploying high-performance, highly-available, scalable distributed systems/computing and enterprise-wide systems
Demonstrated proficiency and experience and with, at least, one modern programming language such as Java, C, C++, C# or equivalent object-oriented programming language; and demonstrated ability to quickly learn new programming languages and tools
Experience with distributed version control systems in an enterprise environment
Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
Strong verbal and written communication skills and an ability to work in a team environment

Preferred Qualifications

Master’s degree or PhD in Computer Science, Computer Engineering, or related field
Experience taking a leading role in building complex software systems that have been successfully delivered to customers
Experience applying machine learning, statistical modeling or related analytic techniques is a good plus.
Experience with Hadoop, Spark, YARN, Docker, or large data storage access design and implementation is a plus.
Experience collecting software product requirements, describe software product features, and creating technical designs.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience mentoring junior software engineers to improve their skills, and make them more effective, product software engineers
Experience influencing software engineers best practices within your team

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation