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Software Development Engineer - Big Data, Amazon RDS At Amazon.com

Location

Vancouver, Bc

Job Description

Job Description

Want to help make history in the world of big data and make it easy for customers to efficiently query and analyze petabytes and more of data? Come join the RDS team in AWS!

The AWS Relational Database Service (RDS) is one of the largest cloud database businesses, providing super-simple provisioning and management for databases in the cloud. Customers can set up a new database with just a few clicks, and complex administrative tasks like scaling, fail-over, and monitoring are handled in an automated fashion by our control systems. Providing such simplified management for customers comes with the challenge of building sophisticated and reliable control systems. The systems we build manage huge numbers of databases and vast amounts of storage across multiple datacenters world-wide, and our service is growing rapidly, requiring constant innovations in our systems in order to handle the next order of magnitude in service scale.

We are developing innovative new capabilities from the ground up that will transform the way customers analyze their data while also giving them high performance, low costs, and exceptional ease-of-use. We are a small, entrepreneurial team that operates independently, but with access to some of the top engineers in our field across AWS.
In this role, you will have the opportunity to collaborate with senior and principal engineers who are domain experts at AWS. You’ll develop deep expertise in areas like distributed systems, query engines, machine learning, open source applications, performance optimization, and operational excellence. You’ll also have the opportunity to work with and contribute to the leading open source big data and analytic frameworks like Hive, Spark, and Presto. You will enjoy competitive compensation and your contributions in this role will impact customers and businesses around the world.
You’ll be responsible for designing, developing, testing and deploying some of our most strategic technical features. You’ll deliver large-scale, high performance production systems, design new software systems at the cutting edge of distributed database technology, and have a significant bottom-line impact on our business results. You will draw from your deep and broad technical expertise to mentor engineers, complete hands-on technical work and provide leadership on complex technical issues.


Basic Qualifications

  • Master's degree in Computer Science or equivalent with 3+ years of experience OR Bachelor's Degree in Computer Science or equivalent with 5+ years experience, in: software development, including design, implementation, debugging, and support

  • Deep understanding of distributed systems and web services technology

  • Strong at applying data structures, algorithms, and object oriented design, to solve challenging problems

  • Knowledge of one or more modern programming languages such as C/C++, C#, Java

  • Passion and ability to debug, troubleshoot, and resolve highly complex performance and operational issues

Preferred Qualifications

  • Experience building high-throughput, low-latency multi-threaded systems. e.g. mission-critical network servers, embedded reactive systems

  • Experience designing and building sophisticated fault-tolerant distributed systems

  • Experience taking a lead role in building complex software systems that have been successfully delivered to customers

  • 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 in communicating with users, other technical teams, and product management to collect requirements, describe software product features, technical designs, and product strategy

  • Knowledge and experience with networking, virtualization and Linux kernel modules are a plus

  • Familiarity with JDBC/ODBC, SQL query processing, and distributed query engines

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