Experience: 4+ years
Location: Indore, Madhya Pradesh
About the Role
We are looking for a highly skilled Senior QA Engineer to lead quality initiatives across our software development lifecycle. You will be responsible for designing and executing comprehensive test strategies, mentoring junior QA team members, and ensuring our products meet the highest standards of quality and reliability.
Key Responsibilities
- Lead the planning, development, and execution of test strategies for web, mobile, and API platforms.
- Build and maintain robust automation frameworks using tools like Selenium, Cypress, Playwright, Appium, or similar.
- Conduct detailed manual testing for complex features, edge cases, and exploratory scenarios.
- Collaborate closely with developers, product managers, and DevOps to ensure seamless CI/CD integration and early bug detection.
- Own defect lifecycle management using tools like JIRA, Azure DevOps, or TestRail.
- Drive performance, security, and regression testing initiatives.
- Champion QA best practices and contribute to process improvements across teams.
- Mentor junior QA engineers and foster a culture of continuous learning and quality.
Required Skills & Tools
- Strong command of test automation frameworks and scripting in Java, Python, JavaScript, or similar.
- Deep understanding of manual testing methodologies and test case design.
- Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps).
- Proficiency in API testing using Postman, Rest Assured, or similar tools.
- Familiarity with version control systems like Git.
- Experience working in Agile/Scrum environments.
- Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
Top Skills
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
