24 Aug
|
Rhysley
|
New Delhi
1. Key Responsibilities
- Understand functional and business requirements for Helixta HRMS, EazeeSign, and AI TV OTT app modules, and translate them into detailed test scenarios and test cases.
- Perform functional, regression, integration, smoke, and UAT testing across web application, Android/iOS mobile apps, Android TV, and Fire Stick (Amazon Fire OS) platforms.
- Design and execute test cases for HRMS modules such as Attendance, Payroll/Salary processing, Leave Management, and CRM/Opportunity workflows.
- Validate EazeeSign workflows including document upload, signer flows, signing link generation/expiry, notifications, and audit trail.
- Test OTT/IPTV features across devices content playback (VOD/Live), EPG, subscription/licensing flows, device pairing, remote-control navigation on Android TV and Fire Stick, and cross-device consistency.
- Log, track, and retest defects in Jira (or equivalent tool) with clear reproduction steps, severity/priority tagging, and evidence (screenshots/screen recordings/logs).
- Lead/participate in daily stand-ups, sprint planning, and release readiness/go-live checklist reviews, providing QA sign-off recommendations.
- Prepare and maintain QA documentation test plans, test case sheets, RTM (Requirement Traceability Matrix), and test summary/closure reports.
- Coordinate with developers, business analysts, and product stakeholders to close ambiguities and validate fixes quickly.
- Support API testing (Postman) for backend validations where UI testing alone is insufficient.
- Test AI/LLM-based features (e.g., ChatGPT-integrated chatbot/assistant modules) implemented across our products validate response accuracy, relevance, hallucination checks, prompt-response consistency, and edge-case/adversarial inputs, using tools such as Promptfoo, LangSmith, or DeepEval (or equivalent LLM-evaluation frameworks).
- Perform non-functional testing — load, stress, and performance testing — to validate application response time, stability under concurrent users, and OTT streaming performance (buffering/playback under load), using tools such as k6 or JMeter.
- Own weekly QA governance reporting — ticket counts, SOP adherence, and cycle-time tracking — and present status updates to the QA Lead and stakeholders.
- Own end-to-end QA strategy and test planning for assigned product modules, ensuring adequate coverage across functional, regression, and non-functional testing.
- Design, build, and maintain automated test suites using Playwright (web) and Appium (mobile) to improve regression coverage and release velocity.
- Mentor and guide junior/mid-level QA engineers on test design, tool usage, and defect triage best practices, and review their test cases and bug reports for quality.
- Flag high-risk areas proactively and escalate blockers in a timely manner.
2.
Required
Experience
- 7 to 8 years of hands-on experience in Manual/Functional QA, preferably in a product-based or IT services company, including experience owning QA for complex, production-grade products.
- Extensive, demonstrated experience testing at least two of: web applications, mobile apps (Android/iOS), or Smart TV/OTT/IPTV applications, with the ability to independently define test strategy for current platforms.
- Proven experience working in Agile/Scrum teams with sprint-based delivery, including experience driving QA processes within sprints.
- Prior exposure to HRMS/payroll systems, e-signature/document platforms, or OTT/media streaming platforms is a strong plus.
- Experience testing on real devices — Android phones, iOS phones, Android TV boxes, Amazon Fire TV Stick — is highly desirable.
- Prior experience mentoring or leading a small QA team, or acting as QA point-of-contact for a product/module, is highly desirable.
3.
Required Technical
Skills
- Expert-level command of SDLC/STLC, test case design techniques, and defect life cycle, with the ability to define QA processes for new projects.
- Hands-on experience with Jira (or similar) for test/defect management.
- Robust hands-on experience with API testing tools — Postman (mandatory); solid understanding of REST APIs, status codes, and request/response validation.
- Intermediate to advanced SQL skills for backend/data validation.
- Familiarity with browser dev tools for web debugging (console/network tab).
- Strong understanding of mobile testing concepts (Android/iOS) — app installs, permissions, notifications, deep links.
- Hands-on experience with OTT/Smart TV testing concepts — playback buffering, adaptive bitrate, remote navigation, app performance on low-memory devices.
- Strong hands-on experience with Playwright (TypeScript/JavaScript) for web test automation is required, including designing and maintaining automation frameworks; hands-on experience with Appium (or equivalent) for mobile app (Android/iOS) test automation is also required, and Selenium exposure is an added advantage.
- Hands-on experience with AI/LLM-based application testing is required, since ChatGPT/LLM-integrated features are implemented across our projects — working knowledge of prompt-testing, output evaluation, and tools like Promptfoo/LangSmith/DeepEval (or strong ability to quickly learn these) is expected.
- Hands-on experience with performance/load testing tools (k6 or JMeter) to independently design and execute load tests validating application response time, concurrent-user handling, and OTT streaming stability under load.
- Working knowledge of MS Excel (pivot tables, filters) for test tracking and reporting.
- Excellent written and verbal communication skills in English and Hindi for defect reporting, stakeholder coordination, and cross-functional collaboration with developers and product managers.
- Ability to independently define test strategy, estimate QA effort, and mentor junior team members.
4.
Educational
Qualification
- B.Tech / B.E. / BCA / MCA / B.Sc. (IT/CS) or equivalent from a recognized university.
- ISTQB Foundation certification is required; ISTQB Advanced Level certification is a strong plus.
- Certification in AI/LLM testing or Prompt Engineering (e.g., from platforms like DeepLearning.AI, Coursera, or similar) is required / strongly preferred, given the AI-integrated nature of our products.
📌 Senior Quality Assurance Executive / Team Lead (New Delhi)
🏢 Rhysley
📍 New Delhi