QA Automation Engineer (SDET) AI-Enhanced Testing

Groupe Kardol; Mountain View (CA); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Health, Dental, Life, Disability, and 

Vision insurance

Job summary

Vimo is seeking a QA Automation Engineer (SDET) AI-Enhanced Testing to join our team validating a complex health insurance marketplace. You will blend manual testing with automated scripts and leverage AI tooling throughout the SDLC to improve coverage and reduce cycle times.

You'll design and maintain test frameworks, validate UI, API, and integration layers, triage defects, and collaborate with developers, product managers, and DevOps to enable continuous testing in CI/CD pipelines.

Qualifications

• 5 years QA experience across automation and manual testing.
• Hands-on experience testing web apps and APIs.
• Familiarity with QA methodologies, processes and best practices.
• Strong SQL and data validation skills.
• Experience with test automation frameworks/tools and at least one programming language.
• Experience with CI/CD pipelines and AI-enhanced testing tools.

Responsibilities

• Analyze requirements to design manual and automated test cases.
• Perform manual and automated tests including exploratory, regression and end-to-end testing.
• Build and maintain automated test scripts and frameworks for key scenarios.
• Ensure test coverage across UI, API, and integration layers.
• Identify, document and triage defects with reproducible steps and root-cause insights.
• Leverage AI tools for test generation, defect analysis and optimization.
• Collaborate with developers, product managers and DevOps to ensure quality in SDLC.
• Contribute to CI/CD pipelines to enable continuous testing and rapid feedback.
• Continuously evaluate what should be tested manually vs automated.

Skills

Analytical thinking

Problem solving

Test automation

Manual testing

SQL data validation

Tools

Playwright

Cypress

Selenium

JavaScript

Python

Job description

Description

About Vimo

Vimo® started as the “Expedia” of health insurance and has evolved into a leader in transforming government IT infrastructure with its proven SaaS and AI technology. Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges, and we are now reinventing how states administer safety net programs such as Medicaid, SNAP (food stamps), child care, and unemployment insurance. With our cutting-edge technology, we are helping agencies serve more people, faster, and transforming healthcare service delivery as we know it.

Job Title : QA Automation Engineer (SDET) AI-Enhanced Testing

We are seeking a highly analytical and technically strong QA Engineer with an SDET background to join our team responsible for validating a complex web-based health insurance marketplace. This role combines hands-on manual testing, test automation development, and the use of AI tools in the SDLC. You will contribute to building reliable test coverage, improving automation, and ensuring overall product quality.

Key Responsibilities

• Analyze requirements and workflows to design effective manual and automated test cases, prioritizing automation where appropriate
• Perform comprehensive manual and automated testing, including exploratory, functional, regression, and end-to-end testing
• Design, develop, and maintain automated test scripts and frameworks for high-value and repeatable scenarios
• Contribute to test coverage across UI, API, and integration layers
• Identify, document, and triage defects with clear reproduction steps and root cause insights
• Use AI tools to enhance testing, including test case generation, defect analysis, automated test development, and test optimization
• Collaborate closely with developers, product managers, and DevOps teams to ensure quality throughout the SDLC
• Contribute to CI/CD pipelines to enable continuous testing and faster feedback cycles
• Continuously evaluate and improve what should be tested manually vs. automated

Qualifications

Required Basic Qualifications

• Strong analytical and problem-solving skills with attention to detail
• 5 years of QA experience - Automation and Manual.
• Proven experience in manual testing of web applications
• Solid understanding of QA methodologies, processes, and best practices
• Strong experience with SQL and data validation
• Hands-on experience with test automation frameworks and tools
• Proficiency in at least one programming language (e.g., JavaScript, Python, Java)
• Experience testing APIs and data-driven systems
• Experience working with modern CI/CD pipelines
• Comfort using AI tools within the software development lifecycle (e.g., AI-assisted test creation, code generation, debugging, or analysis tools)

Preferred Qualifications

• Experience testing complex, data-driven web applications
• Familiarity with healthcare or health insurance or Medicaid domains
• Experience with modern automation tools (e.g., Playwright, Cypress, Selenium, or similar)
• Exposure to cloud-based environments and microservices architectures
• Experience with performance or load testing

Compensation and Benefits-

• Competitive compensation - All In range of ($120,000-$140,000). (Please note that salary and compensation may vary based on factors such as skills, experience, performance and location.)
• We offer a comprehensive benefits package, including but not limited to:
• Health, Dental, Life, Disability, and Vision insurance

Healthcare spending or reimbursement accounts (HSA/FSA)

Education assistance or tuition reimbursement-

Employee discounts for Gym memberships & commuting/travel assistance

Our Vaues -

• We believe that working hard, when it is imbued with purpose, can and should be fun.
• You’ll find we are a “can do” place where people work together and roll up their sleeves to get the job done.
• Everyone has a voice; everyone’s ideas count, and everyone is respected.
• We have built a company, as well as a community of friends and colleagues, with respect for each other.

Information Security & Data Protection

• This role may involve access to sensitive or regulated information. The candidate is expected to handle all data in accordance with company security, privacy, and data protection policies.
• Compliance with access control, data classification, and applicable legal and regulatory requirements is required.