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Sigma Infosolutions Ltd. • Ahmedabad, Gujarat, India
Role & seniority: QA Engineer, 4–8 years of automation and API testing experience
Stack/tools: Automation: Selenium, Playwright, Cypress; API testing: Postman, Swagger; programming: Python/JavaScript/Java; AI/ML model validation; OpenSearch/Elasticsearch; CI/CD: Jenkins, GitHub Actions; VCS: Git
Design, develop, and maintain automated test frameworks and scripts for web, backend, and data-heavy systems
Create/execute API test plans (Postman, Swagger) and validate AI/ML model outputs (accuracy, fairness, performance, edge cases)
Validate OpenSearch/Elasticsearch queries (indexing, relevance), perform functional/regression/integration/performance testing, and drive bug tracking with JIRA
Automation: Selenium, Playwright, or Cypress
API testing: Postman, Swagger, REST Assured
Scripting/programming: Python, JavaScript, or Java
AI testing exposure: basic ML model validation
OpenSearch/Elasticsearch: query validation and relevance testing
CI/CD: Jenkins, GitHub Actions; VCS: Git
Experience with large-scale data-driven apps
Docker, Kubernetes, cloud platforms (AWS/Azure/GCP)
Security or performance testing tools (e.g., JMeter, Locust)
Agile/Scrum methodologies and test case management tools (TestRail, Zephyr)
Location & work type: Location not specified; work type not specified
Job Summary
We are looking for a proactive and experienced QA Engineer with 4–8 years of expertise in automation testing, API testing using Postman, and hands-on experience validating AI/ML models and working with OpenSearch. The ideal candidate is passionate about delivering high-quality software and thrives in fast-paced, data-driven environments.
Key Responsibilities
Design, develop, and maintain automated test frameworks and test scripts for web, backend, and data-intensive systems. Create and execute test plans for API testing using Postman, Swagger, or similar tools. Validate AI/ML model outputs for accuracy, fairness, performance, and edge cases. Develop test strategies for systems using OpenSearch or Elasticsearch (query validation, indexing accuracy, relevance testing). Perform functional, regression, integration, and performance testing across products. Identify, log, and track bugs using tools like JIRA, and collaborate with development teams for resolution. Actively participate in sprint planning, story grooming, and retrospectives. Contribute to the continuous improvement of QA processes, automation coverage, and test pipelines.
Required Skills
Automation Testing: Selenium, Playwright, Cypress, or similar frameworks.
API Testing: Postman, REST Assured, Swagger, or similar tools.
Scripting/Programming: Proficiency in Python, JavaScript, or Java.
AI Testing Exposure: Basic understanding of ML models, ability to validate predictions and metrics.
Search Validation: Experience with OpenSearch/Elasticsearch, query performance, and relevance testing.
CI/CD Integration: Jenkins, GitHub Actions, or similar pipelines.
Version Control: Git/GitLab/Bitbucket.
Preferred Qualifications
Experience working with large-scale data-driven applications. Familiarity with Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP). Knowledge of security testing or performance testing tools (e.g., JMeter, Locust). Exposure to Agile/Scrum methodologies and test case management tools (e.g., TestRail, Zephyr).
Soft Skills
Strong analytical and problem-solving skills. Excellent written and verbal communication. Ability to work independently and in a collaborative team environment. Detail-oriented mindset with a passion for quality. Show more Show less