Senior Web Automation QA Engineer / Senior SDET (Web Platforms)

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.

Key Responsibilities

Web, API & Cloud Quality Engineering

• Design and execute comprehensive functional, regression, integration, and negative tests for web applications hosted on AWS , Hybrid and On-Prem platforms.
• Validate end-to-end workflows spanning UI ↔ API ↔ backend services, including authentication/authorization, data integrity, and error handling in cloud environments.
• Validate deployments across environments (DEV/QA/STAGE) hosted on various Infrastructure, including configuration and environment-specific behaviors.

Automation Frameworks & Regression Acceleration

• Build and maintain code-based web automation using modern web automation frameworks such as Selenium/WebDriver, Playwright, or similar tools.
• Implement maintainable automation patterns (Page Object/Component models, reusable utilities, stable selector strategies) that withstand frequent UI changes.
• Produce actionable test artifacts (HTML/JUnit-style reports, screenshots, traces) and maintain evidence for all test scenarios.

Cloud & Infrastructure Awareness (AWS)

• Test and automate applications deployed on AWS infrastructure, Hybrid, and On-Prem Infrastructure, with understanding of cloud-native, and hybrid behaviors and dependencies.
• Work with AWS services such as EC2, S3, RDS/Aurora, CloudWatch, IAM, and load balancers at a functional and testing level.
• Validate application behavior during scaling events, configuration changes, and environment refreshes in the cloud.
• Perform database validation and test data verification using cloud-hosted databases (RDS/Aurora/PostgreSQL/MySQL or similar).

CI/CD Integration & Engineering Excellence

• Integrate automation into CI/CD pipelines (e.g., Jenkins, GitLab CI, TeamCity) executing against cloud-hosted, hybrid or on-prem environments.
• Support containerized or VM-based execution of automation suites as part of cloud pipelines.
• Partner with DevOps and developers to improve testability, observability, and pipeline stability in AWS environments.

AI-Assisted Test Engineering (Human-in-the-Loop)

• Use GenAI/LLM tools (e.g., Claude or similar models) to speed up test design, automation development, debugging, and documentation.
• Critically evaluate AI output; identify hallucinations/false positives and override with evidence-based decisions and domain knowledge.
• Follow enterprise AI governance practices (secure handling of prompts, no secrets in prompts, access control awareness).

Mentorship & Collaboration

• Mentor engineers on automation best practices, cloud-aware test design, and coding standards.
• Collaborate with Product, Engineering, QA, and DevOps teams to define automation and cloud test strategies.

Required Qualifications

• 6+ years of QA experience with deep specialization in web testing and automation.
• Hands-on experience building and maintaining web automation using Selenium/WebDriver, Playwright, or similar web automation frameworks.
• Strong programming skills in one or more languages commonly used for automation (e.g., Java, Python, JavaScript/TypeScript) with experience using test frameworks such as TestNG, JUnit, pytest, or equivalent.
• Experience testing applications deployed on AWS or other cloud platforms, including environment-level validation.
• Strong understanding of REST APIs, JSON, authentication/authorization, and cloud-based application debugging.
• Experience integrating automated tests into CI/CD pipelines and troubleshooting failures across UI/API layers.
• Experience using GenAI/LLM assistants with proven ability to evaluate and override incorrect AI recommendations.
• Proficiency with Git-based workflows and Agile/Scrum development practices.

Qualifications

Preferred / Nice-to-Have Qualifications

• Hands-on familiarity with AWS services such as EC2, S3, RDS/Aurora, CloudWatch, IAM, and load balancers from a testing perspective.
• Experience validating cloud-hosted databases and performing data integrity checks as part of automation.
• Experience automating multi-window/multi-tab flows and third-party redirects (payment iframes, PSP hand-offs).
• Familiarity with Model Context Protocol (MCP) concepts and MCP servers/clients for connecting AI assistants to engineering tools and data sources.
• Exposure to containerized deployments (Docker) or infrastructure-as-code concepts (Terraform/CloudFormation) from a QA perspective.
• Performance, volume, or resiliency testing exposure in cloud environments.

Education

Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.

Success Metrics

• Increased stable automation coverage for critical web journeys across AWS-hosted environments.
• Reduced regression execution time through CI/CD automation against cloud deployments.
• Improved detection of cloud/environment-specific defects prior to release.
• Reduced production escapes and faster root-cause analysis using cloud logs and metrics.

If you are passionate about technology, love personal growth and opportunity, come see what TNS is all about!

TNS is an equal opportunity employer. TNS evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.