SDET 2 - Platform

Overview

As an SDET 2 at AiDASH, you will own the quality of AI-powered applications by understanding requirements and architecture and building test strategies covering functional behaviour and performance. You will work on API automation, data validation, performance testing and post-release application health monitoring.

What you'll do

• Understand requirements, design and architecture of Platform applications and data-processing solutions.
• Analyze functional and non-functional requirements from a coverage and impact perspective.
• Design effective, efficient test cases and trace them to acceptance criteria.
• Write robust, maintainable API automation in Java using RestAssured.
• Develop supporting tools and scripts that improve test efficiency.
• Contribute to automation framework enhancements driven by project needs.
• Perform data validation across APIs, Postgres, MongoDB and outputs of data-processing solutions.
• Debug issues across application and infrastructure layers, including services, queues, databases, Kubernetes, AWS and pipeline outputs.
• Conduct performance testing and benchmarking using tools such as JMeter.
• Prepare test data for QA validations by coordinating across teams and ramping quickly across contexts.
• Build and maintain automation pipelines with Jenkins or equivalent and report with Allure.
• Monitor post-production health and alerts.
• Work with Kubernetes and AWS to check service health and logs.
• Document and manage defects end-to-end.
• Perform root cause analysis and coordinate with Test and Development to resolve issues.
• Design, operate and continuously improve agentic AI workflows for discovery, test planning, automation authoring, execution, triage, reporting and production validation.

What you'll need

• 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.
• 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 an individual.
• Ability to work under pressure and maintain deadlines.
• Excellent verbal and written communication skills.

Nice to have

• Bachelor’s degree in Computer Science or equivalent from a reputed university with good academic results.
• gRPC basics.
• Airflow DAGs.
• Web application testing and automation using Selenium/Playwright.
• Knowledge of testing and validating ML/AI based applications.
• Use of AI tools and editors for increased velocity of work.

Details

• Location: Gurugram, Haryana, India.