Photon Jobs

QA Automation | Offshore

Photon

QA Automation | Offshore

Reposted 3 Months Ago

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In-Office or Remote

Hiring Remotely in India

Mid level

In-Office or Remote

Hiring Remotely in India

Mid level

Automate and maintain UI regression test suites (~150+ cases) for the eFront web application using Puppeteer (or equivalent). Execute and analyze automated tests across Edge and Chrome during releases, update regression scenarios, ensure resilience to vendor UI changes, document coverage/results/defects, and collaborate with business, platform delivery, and QA leadership.

The summary above was generated by AI

Key Responsibilities

• Automate existing manual test cases (~150, expected to increase) for the eFront web application.

• Build and maintain automation scripts using Puppeteer (preferred) or equivalent UI automation tools.

• Execute automated test suites during upgrades/releases and analyse failures.

• Review, update, and optimize regression scenarios provided by business and platform delivery teams.

• Ensure automation resilience during vendor-driven UI changes.

• Perform cross-browser automation for Edge and Chrome.

• Document automation coverage, results, and defects.

• Collaborate with cross-functional teams (Business Analysts, Platform Delivery, QA leadership).

Required Skills & Qualifications

Must Have

• Strong hands-on experience with UI automation for browser-based applications.

• Expertise with Puppeteer (primary tool), and familiarity with Selenium/Playwright/Cypress.

• Ability to automate manual regression tests without access to backend code.

• Strong understanding of black-box and grey-box testing methodologies.

• Experience working with large enterprise applications.

• Strong analytical, debugging, and communication skills.

Good to Have

• Experience with third-party vendor applications (e.g., eFront).

• Background in financial domain or fund administration.

• Knowledge of Java-based front-end systems.

• Experience working with AWS-hosted platforms.

Testing Environment

• Application: eFront (third-party financial platform)

• Frontend Technology: Java-based, browser-rendered

• Backend: Vendor-hosted in AWS

• Browsers: Edge (primary), Chrome (secondary)

• Testing Type: Functional UI automation

• Integration Scope: Primarily UI; limited API usage

• Data Interaction: Mostly within eFront; limited external data exchange through flat files

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