Senior QA Engineer
omniXM
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Job summary
omniXM in Pune on-site is seeking a Senior QA Engineer (Manual + Automation) to own QA across web applications. You will design test plans, execute, automate, and validate scenarios, collaborating with PMs, developers, and engineering teams through the SDLC.
Ideal candidate has 5–7 years of QA experience in SaaS, strong automation skills, experience with API testing, SQL, and CI/CD integrations. The role offers hands-on ownership and growth within a fast-moving AI product company.
Qualifications
- 5–7 years of QA experience in software testing.
- Strong manual testing with automation contributions.
- Experience in SaaS/product-based applications is a plus.
- Bachelor's degree in CS/IT/Engineering.
Responsibilities
- Plan, design, and execute manual test plans and cases.
- Develop, maintain automated test scripts and frameworks.
- Perform API testing with Postman and database validation.
- Collaborate with Product, Developers and DevOps across the SDLC.
- Participate in Agile ceremonies and release planning.
- Identify defects, track them, and verify fixes.
- Improve QA processes and automation coverage.
Skills
Education
Tools
Job description
omniXM builds intelligent customer experience management products. Our flagship AI product omniXMOS, includes a conversational survey analysis engine omniSense, that processes real-world business feedback at scale. The system combines deterministic data tools, LLM-powered reasoning, multi-modal report generation, and document-grounded RAG — all served through a FastAPI backend and deployed on Azure.
We are growing our AI Engineering team to deepen the intelligence layer of omniSense: smarter agents, richer retrieval, better-adapted models, and tighter orchestration.
Location: Pune - On-Site
Type: Full-Time
Team: Engineering
Reporting To: Head of Engineering
omniXM builds intelligent customer experience management products. Our flagship AI product omniXMOS, includes a conversational survey analysis engine omniSense, that processes real-world business feedback at scale. The system combines deterministic data tools, LLM-powered reasoning, multi-modal report generation, and document-grounded RAG — all served through a FastAPI backend and deployed on Azure.
We are growing our AI Engineering team to deepen the intelligence layer of omniSense: smarter agents, richer retrieval, better-adapted models, and tighter orchestration.
We are seeking a highly motivated QA Engineer (Manual + Automation) to own the quality assurance process across our web applications. This role is ideal for someone who possesses strong manual testing expertise while also contributing significantly to automation testing.
The ideal candidate should be capable of independently planning, executing, automating, and validating test scenarios while collaborating closely with Product Managers, Developers, and Engineering teams throughout the Software Development Life Cycle (SDLC).
- Analyze business requirements, user stories, and technical specifications.
- Design comprehensive test plans, test scenarios, and test cases.
- Perform Functional, Regression, Integration, Smoke, Sanity, Exploratory, and End-to-End testing.
- Execute User Acceptance Testing (UAT) support activities.
- Identify, document, prioritize, and track software defects.
- Validate bug fixes and perform regression testing before production releases.
- Collaborate closely with developers to resolve defects effectively.
- Ensure high-quality releases within defined timelines.
- Develop, execute, and maintain automated test scripts for web applications.
- Enhance and maintain scalable automation frameworks.
- Increase automation coverage for regression and critical business workflows.
- Execute automated test suites and analyze execution reports.
- Integrate automated tests into CI/CD pipelines.
- Continuously optimize automation scripts for reliability and maintainability.
- Perform REST API testing using Postman or similar tools.
- Validate API responses, request payloads, authentication, and error handling.
- Execute SQL queries for backend data validation.
- Verify database integrity across different application modules.
- Participate in Sprint Planning, Grooming, Daily Stand‑ups, Reviews, and Retrospectives.
- Estimate testing effort and support release planning.
- Work closely with Product Owners, Developers, and DevOps teams.
- Ensure quality throughout the SDLC in an Agile environment.
- Identify opportunities to improve QA processes and automation coverage.
- Recommend best practices for software quality.
- Monitor product quality metrics and contribute to continuous improvement initiatives.
- Support production validation and post-release verification.
- Functional Testing
- Regression Testing
- Smoke & Sanity Testing
- Integration Testing
- Exploratory Testing
- End-to-End Testing
- Test Planning & Test Case Design
- Defect Lifecycle Management
- Root Cause Analysis
Hands‑on experience with one or more of the following:
- Playwright (Preferred)
- Selenium WebDriver
- Cypress
Programming knowledge in any one of:
- C#
- Java
- JavaScript / TypeScript
- Python
Automation Frameworks:
- Page Object Model (POM)
- Data‑Driven Framework
- Hybrid Framework
- Keyword‑Driven Framework
- Postman
- REST APIs
- JSON Validation
- SQL
- Database Validation
- Azure DevOps
- Jira
- Git
- CI/CD Pipelines (Azure DevOps, Jenkins, GitHub Actions or equivalent)
- Experience with SaaS or Product-based applications.
- Basic exposure to Performance Testing using JMeter or similar tools.
- Experience in Cross-browser and Cross-platform testing.
- Knowledge of Azure or AWS cloud environments.
- Understanding of secure software testing practices.
- 5–7 years of overall QA experience with strong exposure to both Manual and Automation Testing.
- At least 50% hands‑on experience in Automation Testing.
- Strong analytical, debugging, and problem‑solving skills.
- Excellent communication and documentation skills.
- Ability to work independently with minimal supervision.
- Strong ownership mindset and attention to detail.
- Ability to manage multiple priorities in a fast‑paced product environment.
- Passion for delivering high‑quality software.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Work on an AI-powered SaaS product with modern technologies.
- Opportunity to own the complete QA lifecycle.
- Exposure to Product Management, Engineering, and DevOps collaboration.
- Opportunity to contribute to automation strategy and quality engineering initiatives.
- Collaborative, innovation-driven, and growth-oriented work culture.
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