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We seek a Principal QA Automation Engineer with a strong background in Cypress, JavaScript/TypeScript, and proven experience working in AI-driven applications within an AWS cloud environment. This is a hands-on leadership role for someone who thrives at the intersection of quality engineering, automation strategy, and modern AI integration. As a senior technical leader, you will own the design, development, and maintenance of a robust test automation framework, ensure seamless integration with CI/CD pipelines, and bring forward-thinking approaches to testing intelligent, adaptive systems.
Job Responsibility:
Lead the design and implementation of end-to-end test automation frameworks using Cypress with TypeScript
Define quality strategies for applications with AI/ML components, including deterministic and non-deterministic testing approaches
Collaborate with engineering, DevOps, and AI/ML teams to ensure quality across AI-infused features in production environments
Build and scale testing strategies for threaded AI applications running in AWS cloud infrastructure
Integrate automated tests into CI/CD pipelines to support frequent, reliable deployments
Mentor and guide mid- and senior-level QA engineers, setting best practices and driving a culture of quality-first development
Evaluate and introduce new tools, libraries, and frameworks to improve test coverage, performance, and developer experience
Participate in architectural discussions to ensure testability and reliability are baked into software designs from the start
Analyze test results, track quality metrics, and communicate risk and coverage to stakeholders
Requirements:
4+ years of hands-on experience with Cypress for UI and end-to-end automation testing
Expert-level proficiency in TypeScript, JavaScript and Python
Proven experience testing AI-powered or machine learning applications, including AI model validation techniques
Strong understanding of AWS services (e.g., Lambda, S3, SQS, CloudWatch, ECS/EKS) and how to validate applications deployed in cloud environments
Experience with threaded/multi-agent AI tools and how they impact test design and validation
Familiarity with version control (Git), containerization (Docker), and CI/CD pipelines (e.g., GitHub Actions, Jenkins, or CircleCI)
Strong communication, leadership, and mentoring skills
Nice to have:
Knowledge of AI model evaluation, model versioning, and monitoring tools (e.g., SageMaker, MLflow, LangChain, Vector Databases)
Experience testing APIs, microservices, and event-driven architectures
Background in testing non-deterministic systems, including applying statistical or heuristic testing approaches
Contributions to open-source testing or AI tools are a plus
What we offer:
Premium healthcare through OSDE for the employee and their immediate family members
Mendel prepaid card with a monthly allowance for grocery purchases
Monthly reimbursements for Wi-Fi/electricity expenses
Monthly reimbursements for training/English classes
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