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Job Closed

Software Engineer in Test

  • Source: LinkedIn
  • Onsurity
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Experience 2–3 Years Employment Type Full-Time Location Onsite — Bengaluru Department Quality Assurance / Engineering

ROLE SUMMARY

We are hiring an SDET 1 to join our QA team. The ideal candidate has strong hands-on experience in Manual Testing, Mobile Testing, and API Testing, with the ability to leverage AI-powered tools for smarter testing. A Product Thinking mindset — understanding how quality impacts real users — is highly valued. Automation knowledge is an added advantage.

We expect high ownership and high output from this role. You will serve as a quality gate for

the application — no feature ships without your sign-off. You must take end-to-end accountability for the quality of your assigned modules, proactively identify risks, and deliver consistent, fast-paced testing output without compromising on depth or accuracy.

KEY RESPONSIBILITIES

Manual Testing

  • Design and execute test cases, test plans, and regression suites across functional and non-

functional requirements.

  • Perform exploratory, smoke, sanity, and integration testing.

  • Log and track defects with clear reproduction steps in Jira or equivalent tools.

  • Participate in requirement reviews, sprint planning, and grooming sessions.

Mobile Testing

  • Test native (iOS/Android) and hybrid mobile apps across devices, OS versions, and screen sizes.

  • Validate mobile-specific flows — push notifications, deep linking, permissions, gestures,

offline/online behavior.

  • Perform device compatibility testing using real devices and cloud platforms (BrowserStack,

Sauce Labs).

API Testing

  • Design and execute API test cases for REST/GraphQL APIs using Postman, REST Assured, or

similar tools.

  • Validate payloads, status codes, headers, authentication (OAuth, JWT), and error handling.

  • Perform integration testing and data validation against backend databases.

AI Adaptive Usage

  • Use AI tools (ChatGPT, Claude, Gemini, Copilot, Applitools) for test case generation, defect

analysis, and test data creation.

  • Apply AI-driven insights for intelligent test prioritization and risk-based testing.

  • Stay updated on emerging AI/ML trends in software testing.

Product Thinking

  • Understand the product vision, user personas, and business goals to test beyond just

specifications.

  • Think like an end user — identify usability issues, UX friction, and confusing workflows.

  • Prioritize testing on revenue-critical flows (checkout, payments, sign-up) and correlate defects

with business impact.

  • Review customer feedback (support tickets, app store reviews) to identify recurring quality

issues.

REQUIRED SKILLS

Manual Testing - Test planning, test case design, defect lifecycle, regression & UAT

Mobile Testing - Hands-on iOS & Android testing (native/hybrid apps)

API Testing - Postman / REST Assured; REST, JSON, HTTP methods

AI Tools - Experience using AI tools (ChatGPT, Claude, Gemini, Copilot) for test generation or bug analysis

Product Thinking - User-first mindset; understanding of product & business context

Bug Tracking - Jira, Azure DevOps, or similar

Agile - Working knowledge of Scrum methodology

Education - B.E./B.Tech in CS, IT, or related field

GOOD TO HAVE

- Automation Selenium, Appium, Cypress, Playwright - Scripting Java, Python, or JavaScript - CI/CD Jenkins, GitHub Actions - Database SQL & database testing basics

Skills

  • sanity_2
  • JIRA
  • iOS
  • browserstack
  • sauce-labs
  • GraphQL
  • postman
  • oauth
  • chatgpt
  • claude-by-anthropic
  • Gemini
  • applitools
  • JSON
  • microsoft-azure
  • azure-devops
  • selenium
  • appium
  • Cypress
  • Playwright
  • Java
  • Python
  • javascript
  • Jenkins
  • Github
  • github-actions
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