Software Engineer II - Fullstack

About the Role

Hinge Health software engineers work on small interdisciplinary teams focused on different parts of the user journey. Fullstack engineers contribute to their team’s success by building and extending secure, scalable services and exposing clear, well-tested APIs that power beautiful client applications. Fullstack engineers design and implement end-to-end solutions, profile their systems to stay out ahead of scaling bottlenecks, and help maintain a high bar with thoughtful and constructive code reviews.

In addition to contributing to valuable new features, software engineers pay down tech debt, spike on novel solutions, and share responsibility for healthy live site operation. We expect team members to use clear, concise language to navigate abstract solutions, provide constructive PR feedback, and actively participate in planning sessions and team meetings.

We are looking for a Full Stack Software Engineer who is passionate about building robust billing systems on a modern distributed stack. As a member of the Billing team, you will help design and implement the next generation of our billing platform. Our backend consists of Python-based services (FastAPI) with event-driven architecture via Kafka and REST APIs. The frontend experience is powered by a NestJS (BFF) layer and a React shell application.

You will work closely with product managers, finance, revenue cycle management, and other engineering teams to build scalable, observable, and resilient services.

We enjoy a continuous deployment Dev Ops culture, and take owner-operator pride in supporting our code in production with an on-call rotation. Rotations vary by team. Our production systems rely on React Native, React, Node.js, Python, Type Script, Nestjs, Graph

QL, Docker, Rails, AWS, Postgres, Redis, Apollo, and Redux. Our workflow is trunk-based CI/CD, and our security/compliance posture is at the highest standards of healthcare, including HIPAA, HITRUST, SOC 2, and CCPA.

• Complex Problem Solving:
  Solves problems that have minimal visible risks or roadblocks but a multitude of possible states, execution paths, asynchronous control flow, or late-binding dependencies.
• Code Reviews and Direction:
  Able to review code and provide constructive direction. Gives consistently clear and constructive PR feedback.
• Debugging:
  Able to debug familiar code or systems easily and can debug unfamiliar code with some effort. Prepares to work on new tasks by planning an approach ahead of time and confirming it's well thought out.
• AI Tools:
  Utilizes AI tools for team-level efficiency and quality. Understands the technical concepts necessary to do the job effectively and is aware of industry trends in their domain.
• Planning and Estimation:
  Participates in the team's planning and is learning to estimate how long work will take. Utilizes new technologies and patterns to supplement their own skills.
• Post-Release Ownership:
  Takes ownership of their work after it's released and quickly addresses issues as they arise. Solves problems with multiple states and execution paths.
• Observability:
  Demonstrates a good understanding of tools like New Relic, Data Dog, or Sentry to monitor errors and performance.
• Operational Excellence:
  Demonstrates operational excellence by planning approaches ahead of time, utilizing new technologies, and participating in team planning and estimation.

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program.

• Bachelor’s Degree in Computer Science or related technical degree.
• 2+ years of non-internship full time professional software development experience.
• 2+ years of experience in the full software development life cycle.
• 1+ year experience with Python.

• 1+ years of experience with React.
• Familiarity with distributed systems, cloud infrastructure, or scalable architectures.
• Expe…