Quality Assurance Analyst - Manual/Automation Testing

About Us :

We are building a next-gen AI-based Privacy platform. We are helping build a privacy-first world with the help of our Data Privacy Automation (DPA) solution that ties together sensitive data discovery, cataloging, access and makes the right (sensitive) identity-centric data available to the right people and teams. With the help of the 360-degree view of the entire sprawl of sensitive data that the solution provides, we enable privacy officers to set policies to automate enforcement.

We are looking for passionate QA engineers to help us to build and evolve a high-quality platform. This is a great opportunity to create impact, have solid learning, work with a fantastic team and live the startup life!

About the Position :

We are looking for a QA Developer with solid prior experience to join us! As a QA Engineer, you will be responsible for testing distributed systems and ETL pipelines at scale. This involves manual testing, automation of both web interfaces and API automation, performance testing as well as regression.

Responsibilities :

- Coming up with test plans for the same which should be exhaustive, handle edge cases and scale aspects as well

- Manually testing features and qualifying for releases

- Completing automation for the same

- Adding and maintaining the regression suite

- Qualifying release branches

- Own and deliver within the given deadlines

- Come up with frameworks as apt

- Report issues in a timely manner with appropriate level of detail

- Owners mindset for the product quality

Requirements :

- Strong in Python, Selenium-based testing, Scripting

- Knowledge of REST APIs and GraphQL APIs

- Working knowledge of Kubernetes, Cloud

- Working understanding of large-scale distributed systems architecture and data-driven development

- Good debugging and communication skills

- Ability to meet tight deadlines

- Capable of prioritizing multiple projects in order to meet goals without management oversight