Role & responsibilities

- End-to-End Functional &
- Integration Testing:

Design, execute, and maintain test scenarios for complex web and native mobile applications (iOS &
- Android).

- Deep System &

- API Debugging:

Inspect and validate REST APIs using Postman and cURL. Analyze HTTP response codes, request/response payloads, and header configurations to pinpoint broken workflows.

- Mobile App &

- Device Profiling:

Use tools like Android Studio (Logcat) and Xcode to extract live application logs, capture crash reports, and identify front-end vs. back-end issue ownership.

- Database &

- Data Validation:

Execute SQL queries and validate backend database states to verify data integrity across user workflows, transaction states, and background processing.

- Failure &

- Root-Cause Analysis (RCA):

Perform structured failure analysis when bugs occurdistinguishing between client-side bugs, backend service failures, data mismatches, and network drops.

- AI-Assisted QA Workflows: Leverage AI tools (e.g., ChatGPT, Claude, GitHub Copilot, or specialized test generation tools) to accelerate test case writing, generate edge-case scenarios, draft mock payload data, and troubleshoot error stack traces.

- Cross-Functional Communication: Articulate technical findings,



defect impact, and reproduction steps clearly to developers, product managers, and engineering leads.

Preferred candidate profile

- Experience: 2+ years of qualified hands-on experience in mobile app (iOS/Android) and web application testing.

- Technical &
- API Debugging:

Proficiency with Postman, extracting/modifying cURL commands, reading JSON/XML payloads, and interpreting HTTP status codes ($2xx$, $4xx$, $5xx$).

- Mobile Tooling: Practical experience using Android Studio and Xcode for log inspection, build installation, and crash debugging.

- Architecture Understanding: Solid understanding of multi-tier client-server architectures, microservices interactions, and database structures.

- Database Knowledge: Ability to write basic-to-intermediate SQL queries for data verification.

- AI Tooling Savviness: Demonstrated ability to incorporate AI prompts and workflows into day-to-day testing (e.g., rapid test scenario generation, log parsing, or writing synthetic test data).

- Communication &

- Ownership:

Excellent technical communication skills with a track record of driving defects to resolution alongside engineering teams.

📌 Sdet Engineer (Bengaluru)
🏢 Moolya Software Testing
📍 Bengaluru