SDET with Ai Test Automation (mid level) Hybrid

Vega Consulting Solutions, Inc; Baltimore (MD); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Vega Consulting Solutions, Inc. seeks a mid-level SDET Engineer focusing on AI-powered automation. The role centers on building intelligent test infra on AWS and CloudBees, with self-healing scripts and AI-driven testing capabilities.

The ideal candidate has 3–5 years in quality engineering and a strong background in Python, Playwright, Selenium, and CI/CD. Hybrid work arrangement in the Baltimore area is expected, with collaboration across teams to continuously improve automated testing

Qualifications

• 3-5 years of experience in Software Quality Engineering and Test Automation within AI-powered, and enterprise applications.
• Experienced in testing and maintaining scalable automation frameworks using Python, PyTest, Playwright, TypeScript, Java, Selenium WebDriver, TestNG, and Cucumber BDD.
• Strong expertise in UI, API, end-to-end, regression, integration, cross-browser, and backend data validation testing.
• Hands-on experience testing conversational and Voice AI functionality, including speech-to-text, text-to-speech, intent recognition, conversation flow, response accuracy, fallback handling, and backend integrations.
• Experienced in using ChatGPT, GitHub Copilot, and Claude to support test design, automation development, debugging, documentation, and framework modernization.
• Experienced in integrating automated tests into Jenkins and Azure DevOps CI/CD pipelines to support continuous testing and improve release confidence.
• ML concepts and GEN AI concepts - Nice to have
• Experience with modern testing frameworks beyond Selenium, Background in machine learning or AI applications Experience with microservices and containerized applications Knowledge of infrastructure as code (Terraform, CloudFormation)

Responsibilities

• Build and maintain intelligent test automation infrastructure on AWS and CloudBees with emphasis on self-healing scripts and AI‑driven testing solutions.
• Design and implement scalable automation frameworks and ensure coverage for UI, API, and backend validation.
• Integrate automated tests into Jenkins and Azure DevOps CI/CD pipelines to accelerate release confidence.

Skills

AI automation testing

SDET experience

UI testing

API testing

CI/CD integration

Cross-browser testing

Regression testing

Voice AI testing

Tools

Python

PyTest

Playwright

TypeScript

Java

Selenium WebDriver

TestNG

Cucumber BDD

Jenkins

Azure DevOps CI/CD

CloudBees

AWS

Terraform

CloudFormation

ChatGPT

GitHub Copilot

Claude

Job description

Please, no agencies or recruiters, only W2 applicants. Candidates must be located in Maryland, Wash DC or Virginia. Vega is hiring a SDET Engineer with Ai Automation Testing. Hybrid position locatged in Baltimore, MD. We are seeking a mid-level SDET with 5+ years of experience to join our clients team and help drive innovation in AI-powered test automation. This role focuses on building and maintaining intelligent test automation infrastructure on AWS and CloudBees, with emphasis on self-healing scripts and AI-driven testing solutions.

Job Requirment

• 3-5 years of experience in Software Quality Engineering and Test Automation within AI-powered, and enterprise applications.
• Experienced in testing and maintaining scalable automation frameworks using Python, PyTest, Playwright, TypeScript, Java, Selenium WebDriver, TestNG, and Cucumber BDD.
• Strong expertise in UI, API, end-to-end, regression, integration, cross-browser, and backend data validation testing.
• Hands-on experience testing conversational and Voice AI functionality, including speech-to-text, text-to-speech, intent recognition, conversation flow, response accuracy, fallback handling, and backend integrations.
• Experienced in using ChatGPT, GitHub Copilot, and Claude to support test design, automation development, debugging, documentation, and framework modernization.
• Experienced in integrating automated tests into Jenkins and Azure DevOps CI/CD pipelines to support continuous testing and improve release confidence.
• ML concepts and GEN AI concepts - Nice to have
• Experience with modern testing frameworks beyond Selenium, Background in machine learning or AI applications Experience with microservices and containerized applications Knowledge of infrastructure as code (Terraform, CloudFormation)