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Software QA EngineerSanta Clara, California, United States


Software QA Engineer

Santa Clara | California | United States

MapR Technologies, a provider of the industry's leading data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem. For more information, visit

MapR Technologies is an equal opportunity employer.

Software Quality Engineer - QA
MapR is looking for a passionate software engineer in test to implement QA automation frameworks and strategies in testing MapR's next generation Kubernetes offering, which includes MapR data platform with metrics & analytics for both on-premise and cloud deployments. MapR's next generation K8S offering is yet to be released so this opportunity necessitates someone who thrives on working in a fast paced environment on a brand new product. Familiarity with container platforms like Docker and orchestration frameworks like Kubernetes is a major plus!
The successful candidate will be obsessed with quality improvement, experienced and highly committed to creating world class automation for regression and feature testing. Hands-on experience with Linux/Unix as well as strong fundamentals in an object-oriented programming language is a MUST. Candidates must have a proven record of working effectively on different concurrent projects and the ability to communicate with various stakeholders cross-functionally.
- Contribute to the overall QA automation effort in both test cases automation and automation framework development/enhancement for the MapR on Kubernetes offering
- Review and analyze system designs, especially monitoring pipelines that use Kafka streams, Elastic Search, OpenTSDB, and Prometheus
- Develop and execute against a solid automation strategy for delivering the highest quality product releases.
- Work in a scrum team for a brand new product and be responsible for transforming from product feature requirement to test strategies, test planning, and test cases design
- Perform functional, usability, performance and load test for various backend components and monitoring projects.
- Work with the QA Manager to identify and develop metrics for assessing the quality of the delivered project, analyzes trends, researches anomalies and summarizes findings
- Partner with other QA members and teams on designing and implementing company-wide quality initiatives and enhancements

* Bachelor degree in Computer Science, Computer Engineering or similar technical field
* 5+ years of industry experience of enterprise software testing, web testing, and large-scale distributed system testing. This includes working in a Linux/ Unix environment.
* Strong working experience with an object-oriented programming language as well as a scripting language are a must
* Experience with containers and container orchestration (Docker, K8S or Mesos) and deploying applications on cloud computing platforms (AWS, GCP, Azure) is highly desirable
* Extra credit if you've automated tests using containers and or cloud
* Experience in QA methodologies and processes with a demonstrated ability to develop, document and train on testing standards, guidelines, and methodologies
* Excellent communications, problem-solving and decision-making skills.
* Skill in debugging architectural problems in automation setups and test results

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