EyeQ Monitoring is a leader in AI-driven remote video monitoring, delivering real-time security and business intelligence solutions across automotive, retail, and construction industries. We are a fast-growing, execution-focused organization where ownership, accountability, and innovation drive everything we do. As we continue to scale, we are investing heavily in modern engineering practices and AI-first development to build reliable, high-performing products.
We’re looking for a Senior Test-QA Engineer who is excited to redefine how software quality is built and validated in an AI-first environment. This role will own the strategy, architecture, and execution of our QA automation framework- leveraging agentic AI tools as a core part of the development lifecycle. You’ll act as both a technical leader and builder- designing scalable test systems, guiding AI-driven test generation, and partnering closely with engineering, product, and DevOps to ensure our platforms are reliable, performant, and built to scale.
Here at EyeQ, people matter. Any new team members we bring on have to live and breathe our core values, just like we do.
- We value trusted partnerships. We believe in the value of transparent, reliable and growing relationships with our team and customers and turn away people and businesses that don’t fit.
- We build to last. We focus on long-term solutions and spend requisite time to ensure our solutions will work the first time.
- We take the hill. We are excited to take on challenging work, find new solutions and technology frontiers, and attack problems others are scared of; as such, we celebrate failing fast, being transparent, and working with people who we trust to run up those hills with us.
- We enjoy the journey. We take our customer needs but not ourselves seriously; our work is a part of our life we want to enjoy unapologetically; we are proud of the mission we are entrusted with and the team we get to serve with every day.
Responsibilities
- Define and own the architecture for QA automation and software verification frameworks
- Build scalable, high-quality automation and test harnesses across our product suite
- Leverage agentic AI tools (e.g., Claude Code, Cursor, Codex) to generate, refine, and scale test automation
- Guide and direct AI-driven test creation and validation strategies
- Ensure performance, scalability, and maintainability of QA systems
- Partner closely with engineering to embed testing into the development lifecycle
- Collaborate with product, design, and DevOps teams to ensure high-quality releases
- Continuously evaluate and improve QA processes, tools, and frameworks
Required Qualifications
- 4+ years of experience in software QA automation or test engineering
- Deep expertise in modern QA automation and software verification frameworks
- Experience with Git, CI/CD pipelines, and modern development tooling
- Strong understanding of web application architecture and security concepts
- Experience working in Agile development environments
- Clear communicator with strong cross-functional collaboration skills
- Proactive problem-solver with a high degree of ownership
- Comfortable operating in fast-paced, iterative environments
Preferred Qualifications
- Experience working with AI-assisted development or testing tools
- Background in building or scaling QA frameworks from the ground up
- Experience in high-growth or startup environments
- Degree in Computer Science, Engineering, Mathematics, or equivalent experience