Job Description
We are looking for a passionate and detail-oriented SDET 2 (Software Development Engineer in Test) with 4-6 years
of experience in automation testing.
The ideal candidate will have strong expertise in UI automation, API testing and
performance testing, along with a good understanding of ML fundamentals.
You'll collaborate with developers, QA
engineers, and product teams to ensure high-quality, scalable, and reliable software delivery across Mechademy's AI-
driven platform.
Key Responsibilities
Design, develop, and maintain UI automation frameworks using Playwright, Cypress, or Selenium.
Build and enhance API automation frameworks using RestAssured or equivalent libraries.
Contribute to performance testing using JMeter or Locust.
Develop test automation using Java, JavaScript, or Python based frameworks.
Possess deep expertise in AI tools & model testing, responsible for designing scalable test approaches
for RAG, hallucination, drift, and bias
Integrate automation suites into CI/CD pipelines using Jenkins or GitHub Actions.
Testing Strategy & Coverage
Ensure strong automation coverage across UI, API, and backend services.
Write maintainable, reusable, and scalable test scripts.
Work closely with developers to identify, reproduce, and resolve defects early in the lifecycle.
Collaborate with DevOps teams to streamline build, test, and deployment pipelines.
Identify automation gaps, improve framework efficiency, and optimize execution time.
Participate in code reviews, peer learning, and framework enhancements.
Contribute to data-driven QA metrics and continuous feedback loops.
Required Qualifications
4-6 years of hands-on experience in QA automation (UI, API, and performance).
Strong programming knowledge in Java, JavaScript, and Python.
Expertise in Playwright, Cypress, or Selenium for UI automation.
Experience in API automation using RestAssured or similar frameworks.
Experience with testing AI applications, including Generative AI and LLM tools.
Familiarity with OpenAI APIs, HuggingFace, or LangChain.
Knowledge of synthetic test data generation for edge-case scenarios.
Familiarity with Maven or Gradle build tools.
Experience with CI/CD tools like Jenkins or GitHub Actions.
Proficiency in Git/GitHub for version control.
Exposure to performance testing using JMeter or Locust.
Basic understanding of Docker and Kubernetes (mandatory).
Strong analytical, debugging, and problem-solving skills.
Preferred Qualifications
Experience working with microservices or distributed systems.
Exposure to AI/ML-driven test automation tools or frameworks.
Familiarity with API mocking, test data management, or contract testing.
Knowledge of monitoring dashboards or data-intensive pipelines.
Technologies You'll Work With
Languages: Java, JavaScript, Python
Automation Tools: Playwright, Cypress, Selenium, RestAssured
Performance Tools: JMeter, Locust
Build & CI/CD: Maven, Gradle, Jenkins, GitHub Actions
Version Control: Git, GitHub
DevOps: Docker, Kubernetes (Basic required)
Cloud Platforms: AWS / Azure / GCP
Qualifications
Bachelor's degree (B.Tech/B.E.) in Computer Science, Information Technology, Electronics, or a related
engineering discipline.
Master's degree (M.Tech/MS).
Bonus Points
Familiarity with MLOps pipelines and monitoring AI systems
Exposure to performance and scalability testing of AI workloads
