QA Automation Engineer

Responsibilities

Deliver end to end quality and automation independently using agile methodologies

Translate deep insight of architecture, product, specifications into a robust test plan covering all aspects of testing including functional, reliancy, performance, load, scalability and security.

Evaluate & apply the latest tools, techniques and research insights to drive improvements into a world-class data analytics engine

Develop robust test automation that is reliable and maintainable and provides accurate assessment of product quality

Integrate test automation scripts into build system for repeatable execution

Collaborate with other engineering and customer success functions to simulate customer data and usage patterns  to execute test runs, identify and  fix customer issues and make sure that customers get highly reliable, reliant and optimized Dremio experience

Analyze and debug customer issues in customer environments.

Actively participate in code and design reviews to maintain exceptional quality and deepen your understanding of the system architecture and implementation

Basic Requirements

B.Tech/M.Tech/Equivalent in Computer Science or a related technical field

8+ years of QA/automation engineering experience on large scale distributed systems

Deep understanding in Authentication, Single Sign-on and Identity Management systems like AWS IAM, Azure AD, Ping, Okta and Auth0

Hands on experience in testing Role based Access Control Authorization Model in Cloud and Database Systems

Proficiency in any of Java/C++/Python/Go and automation frameworks

Hands on experience in integration of automation using CI/CD tools like Jenkins

Experience in planning and executing QA/Automation tasks to completion and taking ownership of quality during a set of sprints.

Experience in designing, implementing, executing and analyzing automated  tests for complex, production system software.

Experience in analyzing deep product issues and following issue resolution

Hands on experience of working projects on AWS, Azure and Google Cloud Platform

Understanding of distributed file systems like S3 or ADLS or HDFS and HIVE

Hands on experience with various Backend/UI automation frameworks and tools

Ability to create reusable components to automate repeatable, manual activities

Ability to write technical reports and summary and present to leadership team

Passion for learning and delivering using latest technologies

Excellent communication skills and affinity for collaboration and teamwork

Passion and ability to work in a fast paced and agile development environment.

Preferred Qualification

Hands on experience of multi-threaded and asynchronous programming models

Hands on experience in Data Lake and Catalog systems