The Senior Web Automation QA Engineer (Senior SDET) is responsible for ensuring the quality, reliability, scalability, and security of web-based platforms, portals, and APIs deployed on cloud infrastructure (AWS) , Hybrid and On-Prem Infrastructure. The role emphasizes automation-first testing, designing and maintaining robust web automation frameworks, validating complex end-to-end user journeys (including multi-step booking and payment flows), and enabling fast, repeatable regression in CI/CD pipelines across cloud environments.
This position also leverages AI-assisted test engineering (e.g., Claude or similar LLMs) to accelerate test design and debugging, while demonstrating strong judgment to identify incorrect AI suggestions (false positives/hallucinations) and override them using engineering experience, logs, and evidence.
Web, API & Cloud Quality Engineering
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Design and execute comprehensive functional, regression, integration, and negative tests for web applications hosted on AWS , Hybrid and On-Prem platforms.
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Validate end-to-end workflows spanning UI ↔ API ↔ backend services, including authentication/authorization, data integrity, and error handling in cloud environments.
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Validate deployments across environments (DEV/QA/STAGE) hosted on various Infrastructure, including configuration and environment-specific behaviors.
Automation Frameworks & Regression Acceleration
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Build and maintain code-based web automation using modern web automation frameworks such as Selenium/WebDriver, Playwright, or similar tools.
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Implement maintainable automation patterns (Page Object/Component models, reusable utilities, stable selector strategies) that withstand frequent UI changes.
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Produce actionable test artifacts (HTML/JUnit-style reports, screenshots, traces) and maintain evidence for all test scenarios.
Cloud & Infrastructure Awareness (AWS)
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Test and automate applications deployed on AWS infrastructure, Hybrid, and On-Prem Infrastructure, with understanding of cloud-native, and hybrid behaviors and dependencies.
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Work with AWS services such as EC2, S3, RDS/Aurora, CloudWatch, IAM, and load balancers at a functional and testing level.
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Validate application behavior during scaling events, configuration changes, and environment refreshes in the cloud.
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Perform database validation and test data verification using cloud-hosted databases (RDS/Aurora/PostgreSQL/MySQL or similar).
CI/CD Integration & Engineering Excellence
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Integrate automation into CI/CD pipelines (e.g., Jenkins, GitLab CI, TeamCity) executing against cloud-hosted, hybrid or on-prem environments.
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Support containerized or VM-based execution of automation suites as part of cloud pipelines.
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Partner with DevOps and developers to improve testability, observability, and pipeline stability in AWS environments.
AI-Assisted Test Engineering (Human-in-the-Loop)
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Use GenAI/LLM tools (e.g., Claude or similar models) to speed up test design, automation development, debugging, and documentation.
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Critically evaluate AI output; identify hallucinations/false positives and override with evidence-based decisions and domain knowledge.
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Follow enterprise AI governance practices (secure handling of prompts, no secrets in prompts, access control awareness).
Mentorship & Collaboration
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Mentor engineers on automation best practices, cloud-aware test design, and coding standards.
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Collaborate with Product, Engineering, QA, and DevOps teams to define automation and cloud test strategies.