Automation QA Engineer

Our client is a US-based software company providing industry-leading foodservice management solutions to healthcare and military organizations across North America. Their platform covers the full foodservice lifecycle — from nutrition care and meal ordering to inventory management, retail POS, and business intelligence.

The QA Engineer will work within an AI-DLC (evolving AI-driven lifecycle) development environment to ensure product quality across web-based and desktop applications. This role combines manual testing expertise with automation skills, focusing on building reliable, scalable, and efficient testing processes.

The ideal candidate is a well-rounded QA professional who understands not only how to test, but why specific test design techniques are used, and can contribute to both exploratory/manual and automated testing strategies.

Requirements:

10+ years of experience in Quality Assurance
Strong experience in API testing
Strong experience with test automation
Solid understanding of test design principles and QA methodologies
Experience writing SQL queries and data validation
Experience with cross-browser and cross-device testing
Familiarity with performance, stress, and load testing
Experience working with CI/CD tools and pipelines
Familiarity with cloud platforms (preferably AWS) and testing applications deployed in cloud environments

Nice to have:

Experience in Food Service or Clinical systems
Experience working in AI-assisted development/testing environments

Responsibilities:

Design, develop, and execute test plans, test cases, and test strategies based on business and technical requirements
Perform manual and automated testing
Develop, maintain, and enhance test automation frameworks and scripts
Conduct API testing using appropriate tools and methodologies
Apply test design techniques to ensure optimal coverage
Execute test plans within Agile/AI-DLC and contribute to release readiness
Collaborate with developers, product managers, and cross-functional teams to ensure quality throughout the SDLC
Analyze defects, reproduce issues, and support resolution efforts
Use AI-powered IDEs and tools (e.g., Claude, Codex, Kiro, Antigravity, etc.) to improve development and testing efficiency
Collaborate with DevOps to ensure test execution within build and deployment pipelines

Professional Skills:

Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment
Strong attention to detail and organizational skills
Excellent verbal and written communication skills
Ability to work both independently and collaboratively
Proactive mindset with a focus on continuous improvement
Bachelor’s degree in Computer Science or related field (preferred)
ISTQB certification (preferred)
Cloud (AWS, Azure) certification (preferred)