Lead/Senior QA Engineer
Listed on 2025-12-28
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Software Development
DevOps, Software Engineer, Cloud Engineer - Software, Senior Developer
Location: New York
We are looking for a Lead / Senior QA Engineer to join and expand our team in building a next-generation AI growth platform.
About Growth ProtocolGrowth Protocol is the Growth OS for the enterprise, based in New York, USA. We specialize in growth intelligence—combining a neuro-symbolic reasoning core, seamless data activation, and agentic workflows. We’re committed to accelerating growth, reducing execution drag, and delivering measurable business outcomes. Our mission is to turn strategy into action so enterprises move ahead of the curve. For more information, visit growth protocol.ai.
DescriptionABOUT THE COMPANY
Growth Protocol is the Growth OS for the enterprise, based in New York, USA. We specialize in growth intelligence—combining a neuro-symbolic reasoning core, seamless data activation, and agentic workflows. We’re committed to accelerating growth, reducing execution drag, and delivering measurable business outcomes. Our mission is to turn strategy into action so enterprises move ahead of the curve.
JOB DESCRIPTION
We are looking for a Lead / Senior QA Engineer to join and expand our team in building a next-generation AI growth platform. The Lead / Senior QA Engineer will be responsible for test automation that powers the Growth Protocol systems and applications. You will research and design the new methodologies and techniques to facilitate testing, including the state-of-the-art AI methods.
The Lead / Senior QA Engineer will play a critical role in ensuring the reliability, scalability, and efficiency of these systems. The ideal candidate will have 6-8+ years of experience in the tech industry, a background in Frontend or Full-Stack Development (React, NextJS, Express
JS), will have Test Engineering or QA experience, and has worked with both start-ups and late-stage Engineering organizations. You are methodical, a self-starter, and passionate about quality, which is key to the growth and success of a product.
- Develop test plans and test cases
- Embedding automated tests within Continuous Integration/Continuous Delivery (CI/CD) pipelines to enable continuous testing and rapid feedback loops
- Develop Automation test harness and automate tests using internal and open source tools & infrastructure
- Creating specialized test frameworks and tools tailored for evaluating AI and Machine Learning models, especially for emerging AI technologies (ex. Lang Smith)
- Find, isolate, document, regress, and track bugs through to a resolution
- Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process
- Engage with an experienced cross-disciplinary staff to conceive, design, and develop innovative consumer products
- Need to have a hunger and be continuously searching for better and more efficient test solutions, and an instinct for continuous invention and innovation
- Have the opportunity to propose improvements to our existing processes and automated tools in order to improve the team’s speed, quality, and efficiency
- Be responsive, flexible, and able to succeed within an open, collaborative peer environment. You will need to be able to work efficiently and effectively in a fun, fast-paced, dynamic team environment
- 6+ years of quality assurance experience working in software development systems at scale
- Knowledge of QA methodology and tools, with demonstrated experience in an QAE role
- Experience with test automation/hands‑on coding using tools like Playwright, Selenium, etc
- Experience in manual and automation testing
- Bachelor’s degree in Computer Science, Computer Engineering, or a similar technical field
- Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or a similar technical field.
- Familiarity with React/NextJS frontend and Python/FastAPI backend development
- Experience with Apache Airflow, Dataflow, or other data pipeline orchestration tools
- Experience with Elasticsearch and Snowflake configuration and optimization
- Background in software engineering or AI/ML is a plus
- Experience with open source tools and resources
- Competitive salary and comprehensive benefits package
- Stock options in a high-growth company
- Professional development opportunities, including conferences and certifications
- Collaborative environment working with cutting‑edge AI technology
- Career growth potential in a rapidly expanding organization
- Paid time off, including vacation, sick leave, and holidays
If you're passionate about building a robust test automation infrastructure for cutting‑edge AI applications and want to work with a diverse technology stack across multiple cloud platforms, we'd love to hear from you!
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