Leopard is a growing B2B Insurtech platform, now part of Coventry, the market leader in life settlements. We're on a mission to reinvent how life insurance and annuities are built, distributed, and experienced, and are seeking a full-time Lead QA Engineer who is excited to help us build the next-generation, AI-native life insurance platform. In this role, you will own our QA automation and process in close collaboration with our CTO and Engineering Lead as we build and scale our platform and learn and iterate on what QA and vulnerability testing look like in an agent-first development environment. You will directly impact how insurers, distributors, and clients work with life insurance – transforming a traditionally complex, paper-heavy industry into one that feels modern, data-driven, and intelligent. We’re looking for people who are passionate about agent-assisted development, energized by solving hard problems with AI and automation, and motivated to help build an engineering culture where experimentation, ownership, and learning are primary values. Development is changing, and we are looking for people who simultaneously have high standards for work quality and the flexibility to propose and adapt new tools and processes as they go from novel to essential. If you want to be part of a high-performing team with room for outsized growth, deep ownership, and the chance to help set the standard for an AI-native insurance platform, this is the opportunity for you. In your first six months on the Leopard team, you will: Build new testing automations for unit, regression, and end-to-end tests. Partner with and lead our current nearshore QA engineer on improving our overall testing and release process with an eye to keeping up with the increasing scope and size of agent-assisted PRs. Design and implement the initial security testing infrastructure, moving beyond vulnerability detection and periodic penetration tests. Contribute to our company roadmap, developing ideas on new features and models, and help Leopard grow into the leading platform for life and annuities distribution.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed