SDET II

Responsibilities:

• Creating comprehensive test strategies that validate both functional and performance aspects of the system under test.
• Analyzing functional and non-functional requirements from a coverage and impact perspective, and designing effective and efficient test cases.
• Writing robust and maintainable API test automation using Java and the RestAssured framework, along with other tools and scripts that make testing more efficient.
• Contributing to enhancing the automation framework based on the needs of the project/requirements.
• Performing data validation testing across APIs, databases like Postgres and MongoDB, and the outputs of data processing solutions.
• Conducting performance testing and benchmarking of applications using tools like JMeter.
• Preparing test data for QA validations by coordinating with multiple teams and ramping up quickly across different contexts.
• Creating the automation pipeline using Jenkins or other build tools to trigger the automation and using reporting tools like ExtentReports or Allure for clear and detailed test reports.
• Monitoring post-production application health and alerts, including working with Kubernetes clusters and AWS services to check service health and logs.
• Documenting and managing defects throughout their lifecycle, conducting root cause analysis, and coordinating with test and development team members to resolve issues.
• Contributing to the quality of our upcoming in-house orchestration platform, a one-stop solution for invoking and reporting on the various data processing solutions within AiDASH.

Requirements:

• A bachelor's degree in computer science or an equivalent from a reputed university with good academic results is preferred.
• Hands-on experience testing backend applications, with strong skills in API testing and data validation testing.
• Hands-on experience in API automation using Java and RestAssured, and/or Python scripting, with a good understanding of test frameworks.
• Experience in performance testing using tools like JMeter.
• Hands-on experience with databases like Postgres and MongoDB, and writing queries for data validation.
• Knowledge of AWS services and experience working with Kubernetes clusters for checking service health and logs.
• Understanding of queues and caching.
• Experience with Scrum or other Agile methodologies.
• Strong attention to detail and curiosity to understand the internal workings of software.
• Good analytical skills and decision-making ability, with the ability to work in a team as well as as an individual.
• Ability to work under pressure and meet deadlines.
• Excellent verbal and written communication skills.
• Good to have: gRPC basics, Airflow DAGs, web application testing and automation using Selenium/Playwright, knowledge of testing and validating ML/AI-based applications, and use of AI tools and editors for increased velocity of work.