Coforge
QAAutomationEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“QA Automation Engineer at Coforge. Skills: QA Automation, AI/LLM Testing, API Testing, Modern Web Knowledge, Database Validation, Cloud Platforms, Performance Testing. Develop and execute test plans covering manual and automated scenarios for web applications and backend services. Design and maintain automated test suites to ensure regression stability during the migration from legacy to modern stacks”
What You'll Achieve.
ensure regression stability; accuracy and consistency of RAG-driven outputs; effectively support engineer decision-making; ensure timely resolution within an iterative development cycle
Industry & Context.
Analytical Thinking; root-cause analysis; identifying edge cases
What They're Looking For.
Must Have
Software Testing Fundamentals, Solid experience in both manual and automated testing methodologies, Automation Proficiency, Experience creating and maintaining test automation frameworks for web applications and APIs, Agile Experience, Professional experience working within fast-paced, iterative development environments, Analytical Thinking, capability for root-cause analysis and identifying edge cases in complex engineering workflows
Nice to Have
AI/LLM Testing, Familiarity with validating non-deterministic outputs from LLMs and RAG architectures, API Testing, Experience testing RESTful services and verifying data integrity between integrated systems, Modern Web Knowledge, Understanding of React and Angular architectures from a quality assurance perspective, Database Validation, Experience verifying data consistency across relational and non-relational (NoSQL) databases, Cloud Platforms, Basic familiarity with the Azure ecosystem and cloud-based testing tools, Performance Testing, Experience with load or stress testing for high-demand engineering services
What You'll Do.
Develop and execute test plans covering manual and automated scenarios for web applications and backend services
Design and maintain automated test suites to ensure regression stability during the migration from legacy to modern stacks
Perform specialized testing of AI/LLM components
specifically focusing on the accuracy and consistency of RAG-driven outputs
and track software defects
working closely with developers to ensure timely resolution within an iterative development cycle
How You'll Work.
Team & Collaboration
Collaborate with the engineering team to validate "human-in-the-loop" interfaces, ensuring they effectively support engineer decision-making; working closely with developers to ensure timely resolution within an iterative development cycle
Full Job Description
Job Title: QA Automation Engineer Key Skills: Software Testing Fundamentals, AI/LLM Testing, API Testing, Modern Web Knowledge, Database Validation, Cloud Platforms, Performance Testing. Location: Brazil Mode: Remote We at Coforge are hiring QA Automation Engineer with the following skill set. Key Responsibilities Develop and execute test plans covering manual and automated scenarios for web applications and backend services. Design and maintain automated test suites to ensure regression stability during the migration from legacy to modern stacks. Perform specialized testing of AI/LLM components, specifically focusing on the accuracy and consistency of RAG-driven outputs. Collaborate with the engineering team to validate "human-in-the-loop" interfaces, ensuring they effectively support engineer decision-making. Identify, document, and track software defects, working closely with developers to ensure timely resolution within an iterative development cycle. Required Skills & Qualifications Software Testing Fundamentals: Solid experience in both manual and automated testing methodologies. Automation Proficiency: Experience creating and maintaining test automation frameworks for web applications and APIs. Agile Experience: Professional experience working within fast-paced, iterative development environments. Analytical Thinking: Strong capability for root-cause analysis and identifying edge cases in complex engineering workflows. Preferred Skills: AI/LLM Testing: Familiarity with validating non-deterministic outputs from LLMs and RAG architectures. API Testing: Experience testing RESTful services and verifying data integrity between integrated systems. Modern Web Knowledge: Understanding of React and Angular architectures from a quality assurance perspective. Database Validation: Experience verifying data consistency across relational and non-relational (NoSQL) databases. Cloud Platforms: Basic familiarity with the Azure ecosystem and cloud-based testing tools. Performa
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