About LeafLink
LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses a suite of tools to manage their business more effectively, sell or order from their favorite brands and accelerate growth. With thousands of brands and retailers across 30+ markets in North America, we are setting the industry standard for how cannabis businesses grow together.
The Role
LeafLink is seeking a Senior Full Stack Engineer, backend-leaning, to help build and evolve the systems that power our financial services platform. You’ll spend most of your time in backend services responsible for payment workflows, transaction processing, and integrations across the cannabis industry—while also shipping the user-facing surfaces those systems drive. This is a strong fit for a backend-heavy engineer who is comfortable in the frontend and wants full ownership of the features they ship.
What You’ll Be Doing
- Design and build backend services supporting financial workflows and transaction processing using Java and modern JVM frameworks.
- Own features end to end — data model, service, API, and the Angular frontend that consumes them.
- Build and maintain APIs used by internal services, external integrations, and our own frontend.
- Contribute to architectural discussions and evolve service-oriented, event-driven systems.
- Improve system reliability, performance, and observability across the stack.
- Refactor and modernize legacy systems as the platform evolves.
- Troubleshoot production issues and implement long-term fixes.
- Partner with product and design to translate requirements into working, well-tested features.
- Use AI-powered development tools, including Claude, to accelerate software design, implementation, testing, debugging, documentation, and code review.
What You’ll Bring to the Team
- 5+ years of experience working as a backend engineer in a production environment.
- Deep experience building backend services using Java and modern JVM frameworks.
- Experience designing APIs and service-oriented systems.
- Experience working with relational databases and large datasets.
- Experience with distributed systems and event-driven architectures.
- Working proficiency with a modern reactive frontend framework (Angular preferred) and TypeScript.
- Familiarity with containerized environments such as Docker and Kubernetes.
- Hands-on professional experience using AI coding assistants (Claude, Copilot, Cursor, or similar).