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Testing automation engineer - Risk Scenario & Automation (4+yrs)

4 years

0 Lacs

India

Posted:15 hours ago| Platform: Linkedin logo

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Skills Required

testing automation risk test design automate analysis code jira auto navigation documentation data engineering strategy reporting selenium javascript python management summarization processing clustering service virtualization compliance support ai

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title:

Test Automation Engineer – Risk Scenario Design & Automation

Experience:

4+ Years

Location:

Remote

Job Type:

Full-Time

Job Summary:

We are hiring Test Automation Engineers with a unique blend of

automation expertise and risk-based thinking

. In this role, you won’t just automate test cases — you’ll be responsible for

generating meaningful risk scenarios

by leveraging

GenAI-powered analysis of SOPs, source code, JIRA content

, SME inputs, and

auto-navigation tools like Playwright MCP

. This is a strategic, hands-on role ideal for professionals who understand both the art of test automation and the science of risk detection.

Key Responsibilities:

Identify, define, and maintain

risk-based test scenarios

using:
SOPs and documentation analyzed by

GenAI tools

Application

source code intelligence

(via GenAI insights)
Feedback and inputs from

SMEs and domain experts

Auto-navigation data from tools like

Playwright MCP

Historical defect data and

JIRA tickets

(analyzed by GenAI)
Develop and maintain

automated test suites

using Playwright and other modern frameworks.
Work closely with product, QA, and engineering teams to

prioritize and validate high-risk flows

.
Continuously update and refine risk scenarios as new releases, features, or dependencies emerge.


Integrate test scenarios with

CI/CD pipelines

and ensure test coverage evolves with product changes.
Participate in test strategy, execution, and reporting with a

risk-driven mindset

.

Must-Have Skills:

4+ years of experience in

test automation

, preferably with

Playwright

or equivalent tools (e.g., Selenium, Cypress)
Strong background in

risk-based testing

or ability to assess impact areas in complex systems
Familiarity with using or interpreting insights from

GenAI-based tools

for analyzing SOPs, code, or tickets


Proficiency in

JavaScript/TypeScript

or Python for test scripting


Hands-On Experience with

CI/CD integration

for automated testing


Experience working with

JIRA, Confluence

, and test management tools
Solid understanding of

SDLC and STLC

processes

Nice-to-Have Skills:

Experience with Playwright MCP or similar

auto-navigation/intelligent exploration

tools
Exposure to

GenAI tools

for code summarization, document processing, or ticket clustering
 Familiarity with

test data generation

,

mocking

, and service virtualization
Understanding of

compliance-driven testing

or working in regulated environments
Experience in building frameworks that support

AI-assisted testing or scenario generation

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field

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