Quality Engineer

Additional Comments:

• Good knowledge of Python/Java, comfortable with Bash scripting in Linux environment (more of tooling)
• Hands on experience with Docker and/or Kubernetes and/or AWS
• Focus on manual and automated testing of applications exposed in browser, CLI and via API endpoints in Python
• Good knowledge of Git and GitHub flows
• Ability to use both stand alone tools (Curl, Postman) and CLI (Bash) to assist with testing
• Understating and experience of testing Distributed Computing systems, preferably Hadoop, Cassandra, Kafka is a strong plus
• Soft skills must include ability to and willingness to learn new topics quickly and independently

The goal is to support Quality Assurance and Release Management activities for a Machine Learning development platform across full stack of application layers. Feature validation, manual and automated regression for end to end customer facing flows will benefit from confident knowledge of Python. Candidate should be be able as well to quickly assert functionality / do exploratory testing using standard no-coding tools. This position's tasks might also include but will be not limited to creation of browser and API testing framework for micro-services, GitHub repository management and reporting solution, Quality Dashboard and test suites