QA Automation Engineer with Playwright & AI

PDSSOFT INC.; San Jose (CA); On-site; USD 110,000 - 140,000; Full time

Job summary

PDSSOFT INC. is seeking an onsite QA Automation Engineer in San Jose, CA to lead test automation for approval workflows and enterprise integrations. You will work with REST APIs, CI/CD pipelines, and AI-powered testing approaches to enhance reliability and coverage.

Ideal candidates have strong QA methodology experience, familiarity with Jira, Git, and modern automation tools, and a passion for leveraging AI to generate intelligent test cases and scenarios.

Qualifications

• Strong experience in QA and software testing methodologies.
• Knowledge of Generative AI, LLMs, and prompt engineering.
• Experience using AI to generate test cases, test scripts, synthetic test data, or test scenarios.

Responsibilities

• Automate approval routing, business rules, notifications, and escalations.
• Integrate approval systems with enterprise applications through REST APIs and MCP tools where applicable.
• Develop reusable automation skills or lightweight agents when needed.
• Implement logging, audit trails, access controls, exception handling, and workflow testing.
• Hands-on experience using AI tools in QA automation.
• Experience testing AI-based applications, chatbots, or intelligent automation workflows.

Skills

QA automation

REST APIs

CI/CD tools

Git

Jira

AI in QA

Prompt engineering

Tools

Jenkins

GitHub Actions

Azure DevOps

Selenium

Job description

Location: San Jose,CA

Required Technical Skills

\"The onsite resource should focus more on QA automation framework work and lead Track 2, with support from the offshore resource\".

• Automate approval routing, business rules, notifications, and escalations.
• Integrate approval systems with enterprise applications through REST APls and MCP tools where applicable.
• Develop reusable automation skills or lightweight agents when needed.
• Implement logging, audit trails, access controls, exception handling, and workflow testing.
• Strong experience in QA and software testing methodologies.
• Knowledge of Generative AI, LLMs, and prompt engineering.
• Experience using AI to generate test cases, test scripts, synthetic test data, or test scenarios.
• Familiarity with AI-powered testing platforms and tools.
• Understanding of CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Experience with Git and version control.
• Knowledge of defect management tools such as Jira.
• Hands-on experience using AI tools in QA automation.
• Experience testing AI-based applications, chatbots, or intelligent automation workflows.
• Understanding of validating AI outputs for accuracy, consistency, hallucinations, and reliability.