Experience: 2+ years
Location: Indore, Madhya Pradesh
Role Overview
We’re looking for a motivated and detail-oriented QA Engineer to join our growing quality team. You’ll work closely with developers and senior/lead QA engineers to ensure our products meet high standards of functionality, performance, and reliability. This is a great opportunity to deepen your skills in both manual and automation testing while contributing to real-world projects.
Responsibilities
- Execute manual test cases for web, mobile, and API-based applications.
- Assist in developing and maintaining automated test scripts using tools like Selenium, Cypress, or Postman.
- Collaborate with cross-functional teams to understand requirements and define test plans.
- Identify, document, and track bugs using tools like JIRA or Azure DevOps.
- Participate in regression, smoke, and exploratory testing cycles.
- Support continuous integration and delivery efforts by integrating tests into CI/CD pipelines.
- Learn and apply QA best practices and contribute to process improvements.
Skills & Tools
- Decent experience with automation tools: Selenium, Cypress, or Playwright.
- Strong understanding of manual testing techniques and test case design.
- Familiarity with API testing tools like Postman or Swagger.
- Exposure to version control systems (e.g., Git).
- Understanding of Agile/Scrum methodologies.
- Good communication and documentation skills.
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What We Do
Driving Innovation through Advanced Data and AI Services.
We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.
To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:
01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases
02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud
03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment
