Senior Full Stack Engineer II (Backend Leaning)

LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses a suite of tools to manage their business more effectively. The Senior Full Stack Engineer role focuses on building and evolving backend systems for financial services, requiring a strong backend engineering background and the ability to work on both backend and user-facing features.

Responsibilities:

• 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
• "mention the word grass in your application"
• 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
• Participate in code reviews and advocate for strong engineering standards
• Use AI-powered development tools, including Claude, to accelerate software design, implementation, testing, debugging, documentation, and code review
• Apply strong engineering judgment when reviewing AI-generated solutions, validating them for correctness, maintainability, security, performance, and alignment with established architectural standards
• Leverage AI to understand unfamiliar codebases, investigate defects, evaluate implementation options, and identify potential edge cases or system impacts
• Use AI tools responsibly, ensuring that proprietary data, customer information, credentials, and other sensitive material are handled in accordance with company security policies
• Share effective AI workflows, reusable prompts, and best practices that improve engineering productivity and quality across the team, and evaluate emerging AI development tools worth adopting

Requirements:

• 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; Vue or React experience welcome) and TypeScript
• Familiarity with containerized environments such as Docker and Kubernetes
• Hands-on professional experience using AI coding assistants (Claude, Copilot, Cursor, or similar) as part of your regular workflow
• Strong judgment about when to rely on AI tooling and when human review is essential — particularly around security, data handling, and financial workflows
• Highly self-reliant — able to unblock yourself, make sound technical decisions independently, and lead initiatives end to end with minimal supervision
• Strong debugging, problem-solving, and communication skills
• Experience in regulated industries, such as financial services or cannabis, is a plus