SDET 2 - Platform

As an SDET 2 at AiDASH , you will own the quality of the AI-powered applications behind our offerings. You will understand application requirements and architecture, then build test strategies that cover both functional behaviour and performance. Your work will include API automation using Java and RestAssured , data validation, performance testing with tools like JMeter, and monitoring application health after release. Success means shipping reliable, high-performing applications that help our teams deliver faster.

Requirements understanding & test strategy

Understand requirements, design, and architecture of Platform applications and data-processing solutions that power most AiDASH applications.

Coverage & test design

Analyze functional and non-functional requirements from a coverage and impact perspective.

Design effective, efficient test cases and trace them to acceptance criteria.

API & framework automation

Write robust, maintainable API automation in Java using rest-assured, plus supporting tools/scripts that improve test efficiency.

Contribute to automation framework enhancements driven by project needs.

Data validation across the stack

Perform data validation across APIs, databases (Postgres, MongoDB), and outputs of data-processing solutions.

Cross-layer debugging

Debug issues across application and infrastructure layers — not only API or UI (services, queues, DBs, K8s, AWS, pipeline outputs).

Performance testing

Conduct performance testing and benchmarking using tools such as JMeter.

Test data & context switching

Prepare test data for QA validations by coordinating across teams and ramping quickly across contexts.

CI/CD & reporting

Build and maintain automation pipelines with Jenkins (or equivalent) and report with Allure.

Production / ops quality

Monitor post-production health and alerts; work with Kubernetes and AWS to check service health and logs.

Defect lifecycle & collaboration

Document and manage defects end-to-end, perform root cause analysis, and coordinate with Test and Development to resolve issues.

Beyond traditional STLC execution, you will design, operate, and continuously improve agentic AI workflows that guide discovery, test planning, automation authoring, execution, triage, reporting, and production validation so quality is consistent, auditable, and faster without skipping governance

Bachelor’s degree in Computer Science or 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

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

Good to have: gRPC basics, Airflow DAGs, web application testing and automation using Selenium/Playwright, knowledge of testing and validating ML/AI base d applications, and use of AI tools and editors for increased velocity of work

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.