Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS, you can requisition compute power, storage, and other services – paying as you go for only the resources you need. Amazon Redshift is rapidly growing, fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. It enables customers to dramatically increase their query performance when analyzing virtually any size data set using the same SQL-based business intelligence tools they use today. Amazon Redshift manages all the work needed to set up, operate, and scale a data warehouse, from provisioning capacity and installing software to monitoring and backing up the cluster, to applying patches and upgrades. By automating these labor-intensive tasks, Amazon Redshift enables customers to spend their time focusing on their data and business insights, rather than on procuring and managing infrastructure.
Joining the Amazon Redshift team gives you the opportunity to:
· Solve challenging problems that will revolutionize database computing in the cloud
· Build a quality product that will leverage the scale of resources available in the cloud
· Work for a company that's a recognized leader in the cloud computing space
· Be involved in the fast growing, big data space
We are looking for candidates with expertise and passion for building high quality, large scale distributed database systems in the cloud. In this role, you will have responsibility for:
· Designing, developing and executing large scale functional, stress and performance tests
· Execution and maintenance of existing test frameworks
· Developing and deploying new test frameworks and monitoring systems
· Reviewing new database technical requirements and assist in the development of a quality strategy for the new features
· Gaining deep understanding of the AWS products and drive their quality
· Working with other teams to deliver and operate large scale, distributed services in the cloud
· Drive quality initiatives and point out areas that require attention.
· Be able to define success criteria broadly and deeply within the system.