AI-Driven QA Automation Engineer (Hybrid)

Euna Solutions; Atlanta (GA); Hybrid; USD 80,000 - 110,000; Full time

Job summary

Euna Solutions is seeking a QA Automation Developer to design automated test frameworks, integrate automation into CI/CD, and work with AI-powered workflows to improve software reliability in public sector SaaS products. You’ll collaborate with engineers and product teams in a hybrid Atlanta-based role.

The ideal candidate has 2+ years in QA automation, 1+ year using AI/ML tools, and a solid grasp of SDLC, Agile/Scrum, and CI/CD.

Qualifications

• 2+ years in QA test automation, including test code generation in Java, TypeScript, or a similar language.
• 1+ years leveraging AI/ML-powered tools in a professional QA or software development context.
• Solid understanding of SDLC, Agile/Scrum methodologies, and CI/CD practices.
• You've worked with defect tracking tools such as JIRA, Xray, or Zephyr.
• Bachelor's degree in Computer Science, Information Technology, or a related field, or bring equivalent hands-on experience.

Responsibilities

• Design and implement automated test frameworks using modern tools including AI/ML-powered solutions such as Playwright, Xray, and Claude.
• Execute QA tasks within AI agentic workflows built by product engineers, applying approved tooling to automate and accelerate testing activities.
• Design comprehensive test plans and scenarios based on software requirements and design specifications.
• Analyze test results, identify patterns and root causes, and report defects using tracking tools such as JIRA and Xray.
• Collaborate with developers, product owners, and QA team members to troubleshoot and resolve issues.
• Participate in Agile ceremonies and code reviews, and contribute to ongoing process improvements.

Skills

QA test automation

CI/CD

AI/ML tooling

Education

Bachelor's degree in CS/IT

Tools

Playwright

Xray

Zephyr

Job description

Euna Solutions is seeking a QA Automation Developer to design automated test frameworks, integrate automation into CI/CD, and work with AI-powered workflows to improve software reliability in public sector SaaS products. You’ll collaborate with engineers and product teams in a hybrid Atlanta-based role.

The ideal candidate has 2+ years in QA automation, 1+ year using AI/ML tools, and a solid grasp of SDLC, Agile/Scrum, and CI/CD.