Quality Assurance Engineer

Kamakhya Analytics Private Limited

Bengaluru

On-site

INR 750,000 - 1,250,000

Full time

12 days ago
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Job summary

Kamakhya Analytics Private Limited is seeking an Application-Level QA Engineer with 3–4 years of experience to own quality across analytics and tracking web applications in Bengaluru. You will validate UI accuracy against underlying data, design comprehensive test plans, and implement automated suites for web UI and APIs.

The role requires strong QA fundamentals, experience with UI automation tools, API testing, and data validation.

Qualifications

  • 3–4 years of professional QA/testing experience at the application level.
  • Strong QA fundamentals: test planning, test case design, and bug lifecycle.
  • Hands-on manual testing of web applications.

Responsibilities

  • Own application-level quality for web apps, including functional, UI, regression, and integration testing.
  • Design, write, and maintain test plans, cases, and scenarios from requirements.
  • Perform manual testing and build/maintain automated suites for web UI and APIs.
  • Validate data accuracy by comparing UI visuals to underlying data and logic.
  • Conduct API testing for endpoints, responses, and edge cases.
  • Log, track, and report defects; collaborate with engineers for resolution.
  • Integrate automated tests into CI/CD and contribute to release readiness.
  • Utilize AI tools to speed up test design/execution without compromising coverage.
  • Own end-to-end testing for assigned features and release quality.
  • Experience testing dashboards, reports, or data visualizations is a plus.

Skills

QA fundamentals
UI automation
API testing
SQL data validation
CI/CD testing
AI testing tools
Bug lifecycle
Manual testing
JIRA
Git

Tools

Selenium
Cypress
Playwright
Postman
Jira
Git
SonarQube

Job description

Experience: 3–4 years

Job Overview

We're looking for an Application-Level QA Engineer with 3–4 years of experience to own quality across our analytics and tracking web applications. Because our products surface survey and analytics data through dashboards and visualizations, this role goes beyond standard functional testing - you'll also validate that what users see in the UI accurately reflects the underlying data. The ideal candidate is detail-obsessed, comfortable with both manual and automated testing, and uses modern tooling (including AI) to test thoroughly and quickly.

Responsibilities

  • Own application-level quality for our web applications, covering functional, UI, regression, and integration testing.
  • Design, write, and maintain detailed test plans, test cases, and test scenarios from product requirements.
  • Perform manual testing and build/maintain automated test suites for web UI and APIs.
  • Validate data accuracy - verify that values, aggregations, and visualizations shown in the UI match the underlying data and expected logic.
  • Conduct API testing to validate endpoints, responses, and edge cases.
  • Log, track, and manage defects with clear, reproducible reports; work with engineers through resolution.
  • Integrate automated tests into CI/CD pipelines and contribute to release readiness.
  • Use AI tools in your day-to-day workflow to accelerate test design and execution without compromising coverage or quality.
  • Own end-to-end testing for assigned features and sign off on release quality.

Required Skills

  • 3–4 years of professional QA / software testing experience at the application level.
  • Strong foundation in QA fundamentals - test planning, test case design, and the bug lifecycle.
  • Hands‑on experience with manual testing of web applications.
  • Experience with at least one UI automation tool (e.g., Selenium, Cypress, or Playwright).
  • Experience with API testing (e.g., Postman, or automated API tests).
  • Strong data validation skills - comfortable querying databases (SQL) to verify application data.
  • Experience with defect tracking and test management tools (e.g., JIRA).
  • Familiarity with Git/GitHub, SonarQube and integrating tests into CI/CD pipelines.
  • Comfort using AI tools to improve testing speed and coverage.
  • Exceptional attention to detail, problem-solving ability, and logical reasoning.
  • Understanding of performance/load testing.

Good to Have

  • Experience testing dashboards, reports, or data visualization products.
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