webAI · 5 months ago
Senior Quality Assurance Engineer
webAI is seeking a Senior QA Engineer to lead quality assurance efforts for their distributed AI systems. This role involves designing and implementing testing strategies, collaborating with various teams, and ensuring high standards of performance and reliability in the software development lifecycle.
Computer Software
Responsibilities
Design, develop, and execute manual and automated test cases to validate system functionality, performance, and scalability
Collaborate with cross-functional teams to understand product requirements and ensure test coverage for new features
Identify, document, and track bugs through resolution using tools like Jira
Implement continuous testing practices and integrate test automation into CI/CD pipelines
Develop and maintain QA documentation, including test plans, test cases, and test data
Conduct root cause analysis of defects and work closely with developers to prevent regressions
Monitor product quality metrics and proactively suggest process improvements
Ensure testing of AI models and edge-deployed systems aligns with privacy and performance expectations
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of experience in software QA or test engineering, with increasing levels of responsibility
Strong proficiency with test automation frameworks (e.g., Selenium, Cypress, Playwright, or equivalent)
Proficient in at least one programming/scripting language (Python, JavaScript, Java, etc.)
Deep understanding of software QA methodologies, tools, and best practices
Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, CircleCI) and version control (Git)
Experience writing and executing test cases for distributed systems, APIs, and backend services
Excellent communication, collaboration, and documentation skills
A detail-oriented mindset and a proactive approach to ensuring product quality
Preferred
Experience testing distributed systems or edge computing applications
Exposure to AI/ML models and their deployment lifecycle
Familiarity with containerization tools such as Docker and orchestration systems like Kubernetes
Background in performance testing, load testing, and security testing
Experience working in a startup or fast-paced agile environment
Benefits
Competitive salary and performance-based incentives.
Comprehensive health, dental, and vision benefits package.
401k Match
$200/mos Health and Wellness Stipend
$400/year Continuing Education Credit
Free parking, for in-office employees
Unlimited Approved PTO
Parental, Bereavement Leave
Supplemental Life Insurance
Company
webAI
webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices.
H1B Sponsorship
webAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (2)
Funding
Current Stage
Growth StageRecent News
Google Patent
2024-04-16
Company data provided by crunchbase