QA Engineer

Overview

Job Title: QA Engineer

Experience: 5+ Years

Location: Pune (Hybrid )
Notice Period: Immediate Joiners Only

Job Summary

We are looking for an experienced QA Engineer with 5–8 years of hands-on experience in testing backend services, microservices, and AI/ML-driven applications. The ideal candidate should have strong expertise in test planning, automation, and quality assurance processes, along with a solid understanding of product-oriented testing. Experience with LLMs or Whiz AI will be an added advantage.

This role requires working in a 2 PM – 11 PM IST shift in a hybrid model.

Key Responsibilities

• Design, develop, and execute comprehensive test plans, test cases, and test strategies for backend systems and microservices.
  
• Perform functional, regression, integration, API, and performance testing for distributed systems.
  
• Work closely with development, product, and data science teams to validate AI/ML-driven features and system behaviors.
  
• Identify defects, analyze root causes, and drive quality improvements across the product lifecycle.
  
• Develop and maintain test automation scripts using relevant tools and frameworks (e.g., Python, Java, Selenium, Postman, pytest, REST Assured).
  
• Validate REST APIs, event-driven architectures, and cloud-based microservices.
  
• Ensure test environments, datasets, and scenarios cover real-world usage and edge cases.
  
• Participate in product reviews, sprint ceremonies, and QA strategy discussions.
  
• Maintain detailed documentation and ensure traceability across test cycles.
  
• Provide timely status reporting, defect metrics, and risk assessments.
  

Required Skills & Experience

• 5–8 years of experience in software testing with strong focus on backend systems and microservices.
  
• Hands-on experience with API testing, automation frameworks, and performance validation.
  
• Proficiency in scripting languages such as Python or Java.
  
• Strong understanding of microservices architecture, cloud-based systems, and distributed platforms.
  
• Familiarity with DevOps pipelines and CI/CD tools (Jenkins, GitHub Actions, Azure DevOps, etc.).
  
• Good knowledge of databases (SQL/NoSQL) for test validation.
  
• Experience with tools like Postman, JMeter, Swagger, or equivalent.
  
• Strong problem-solving, analytical thinking, and attention to detail.
  
• Excellent communication skills and a product-focused mindset.
  

Good to Have (Not Mandatory)

• Experience with LLMs (Large Language Models) or platforms like Whiz AI.
  
• Exposure to testing AI/ML model outputs, pipelines, and data-driven workflows.
  
• Understanding of cloud platforms (AWS, Azure, or GCP).
  
• Experience with containerized environments (Docker, Kubernetes).