In Dept Work Experience in Manual, Automation, are expected.
3+ years of industry experience developing production-quality code for products or services
Strong written and verbal communication skills considering engineering organizations spread across multiple sites.
Good automation skills - primarily with Java scripting.Test frameworks such as selenium, REST Assured, TestNG
Technical and API Testing over Just GUI Testing like Postman.
Good to have Database testing skills - primarily with SQL query.
Good to have Google cloud platform and Amazon web services exposure.
JIRA and ALM exposure is required for Test Management, good to have
User Stories and Customer Needs over Requirement Specifications.
Work effectively to define testable user stories, especially acceptance criteria, with customer representatives and stakeholders.
Collaborate within the team, working in pairs with programmers and other team members.
Respond to change quickly, including changing, adding, or improving test cases.
Plan and organize their work.
Understanding of Natural Language Processing (NLP):
Must-Have: A deep understanding of NLP concepts and applications to assess how well the conversational system interprets and generates natural language.
Testing Methodologies:
Must-Have: Proficiency in testing methodologies specific to conversational interfaces, including scenario-based testing, intent testing, and regression testing.
Scripting and Coding:
Must-Have: Proficiency in scripting and coding languages (e.g., Python, JavaScript) to automate testing processes and create test cases.
Analytical Skills:
Must-Have: Strong analytical skills to evaluate conversational flows, understand user journeys, and identify potential issues or improvements.
Problem-Solving:
Must-Have: Ability to troubleshoot and identify the root cause of issues in the conversational interface, proposing effective solutions.
Test Case Design:
Must-Have: Expertise in designing comprehensive test cases that cover a wide range of user inputs and scenarios to ensure thorough testing.
Good-to-Have: Experience with testing conversational interfaces across multiple platforms, such as web, mobile, and voice-activated devices.
Data Privacy and Security Awareness:
Good-to-Have: Knowledge of data privacy and security considerations to ensure that user data is handled securely within the conversational system.
Performance Testing:
Good-to-Have: Experience with performance testing to evaluate how well the conversational interface handles high volumes of user interactions.
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