QE – Automation Engineer

TechDigital Group; Atlanta (GA); On-site; USD 80,000 - 110,000; Full time

Job summary

A leading tech company in Atlanta is seeking an experienced automation engineer to design and implement scalable automation frameworks. The role involves using AI-driven tools for testing, maintaining automation scripts across various applications, and collaborating with quality engineering leads to align automation with testing strategies. Candidates should have a strong understanding of automation fundamentals and familiarity with tools such as Selenium and CI/CD integration.

Responsibilities

• Use AI-driven tools to auto-generate, optimize, and maintain test cases and automation scripts.
• Shift from script-heavy automation to outcome-driven validation.
• Build and maintain self-healing and adaptive automation suites across UI, API, and data layers.
• Collaborate with QE Leads/Architects to align automation with risk-based testing strategy.
• Integrate AI-generated tests into CI/CD pipelines for continuous testing.
• Continuously refine test assets using production insights.
• Ensure minimal manual intervention through intelligent maintenance.

Skills

Experience with AI-powered testing tools

Familiarity with SaaS products especially Workday products

Knowledge of US banking systems and workflows

Strong understanding of test automation fundamentals (UI/API/Data)

Familiarity with automation ecosystems (Selenium, Playwright, Cypress, API tools)

CI/CD integration knowledge (Jenkins, Azure DevOps, GitHub Actions)

Programming knowledge (Java / Python / JavaScript – working level)

Understanding of risk-based testing and intelligent test design

Job description

Role Summary

Design and implement scalable automation frameworks or leverage AI tools/frameworks to enable continuous testing across banking applications.

Key Responsibilities

• Use AI-driven tools (e.g., Lifter) to auto-generate, optimize, and maintain test cases and automation scripts
• Shift from script-heavy automation to outcome-driven validation (business flows, risk coverage, defect prevention)
• Build and maintain self-healing and adaptive automation suites across UI, API, and data layers
• Collaborate with QE Leads/Architects to align automation with risk-based testing strategy
• Integrate AI-generated tests into CI/CD pipelines for continuous testing
• Continuously refine test assets using production insights, defect patterns, and usage analytics
• Ensure minimal manual intervention through intelligent maintenance and auto-correction capabilities

Required Skills

• Experience with AI-powered testing tools
• Familiarity with SaaS products especially Workday products
• Knowledge of US banking systems and workflows
• Strong understanding of test automation fundamentals (UI/API/Data)
• Familiarity with automation ecosystems (Selenium, Playwright, Cypress, API tools)
• CI/CD integration knowledge (Jenkins, Azure DevOps, GitHub Actions)
• Programming knowledge (Java / Python / JavaScript – working level)
• Understanding of risk-based testing and intelligent test design