Technical Lead

Role Overview

• Set the Technical Direction. Own architectural decisions across the stack
• from how data flows out of EHR and practice management systems, through backend services and business logic, to how it's presented in customer-facing applications. Make pragmatic choices that balance speed with durability at an early-stage company. Establish engineering standards, patterns, and practices that scale as the team grows.
• Build Data-Intensive Products. Design and implement backend systems that transform complex healthcare data into products practices actually use. Build the application surfaces
• dashboards, workflows, operational tools
• that put that data in the hands of clinic staff. You're as comfortable modeling data and writing performant queries as you are building the UI layer that makes that data useful.
• Turn Services Into Software. Work closely with operations and product to understand how work is done today. Identify patterns in manual, service-driven processes and translate them into durable software abstractions
• configurable workflows, rule-based automation, and self-serve tools that replace human-in-the-loop work.
• Lead and Grow the Team. Provide technical leadership to a small data and engineering team through architecture guidance, code review, and mentorship. Help hire and onboard engineers as the team scales. Create an environment of ownership, clarity, and high standards. This starts as technical leadership and grows into broader management over time.
• Own Quality & Reliability. Write thoughtful tests for workflow logic and core systems. Debug production issues and improve systems based on failure modes. Ensure changes are safe, observable, and reversible. Set the bar for what "production-ready" means.

Requirements

• 8+ years of experience building production web applications, with a track record of owning significant technical surface area.
• Strong backend and data engineering instincts
• you're comfortable designing systems that process, transform, and serve complex data at the application layer.
• Experience building data-intensive customer-facing applications, not just internal tooling or pipelines. You understand how to make complex data usable and legible to non-technical users.
• Proficiency in Python, Javascript and experience designing and building RESTful APIs.
• Full-stack capability with backend as your center of gravity. You can build and ship frontend application surfaces, not just API endpoints.
• Experience with cloud data warehouses and modern data tooling.
• Some experience leading or mentoring engineers, with an appetite for growing into a more formal leadership role.
• A product engineering mindset
• you think about what you're building from the user's perspective, not just the system's.

Tech Stack

• Cloud
• JavaScript
• Python