Backend Software Engineer

About The Role

The Revenue Cycle Management team is seeking a Staff Backend Software Engineer to play a key role in modernizing our billing platform. This position will focus on designing and implementing architectural solutions for performant, scalable systems that can evolve with our growing business needs. In this role you will be applying AI within product and operational workflows to solve real business problems and improve customer outcomes.

You will help design and ship production systems that combine backend engineering with AI capabilities such as summarization, extraction, classification, recommendation, and workflow automation. Your expertise in cloud technologies will be critical as you collaborate with teams to integrate cloud solutions, optimize performance, and establish monitoring practices. You will have the opportunity to shape the future of our billing platform by crafting solutions that are both cutting‑edge and aligned with best practices for AI native, scalability, security and reliability.

• Identify and implement practical opportunities to embed AI into backend services and business workflows where it can improve efficiency, accuracy, or decision support.
• Design and build production‑ready AI‑enabled services that combine application logic, APIs, and AI models to support real customer and operational use cases.
• Integrate LLMs, ML models, and external AI services into existing systems using strong engineering patterns for reliability, observability, and maintainability.
• Build workflows that use AI in a bounded, auditable way, with clear fallback behavior, evaluation, and human review where appropriate.
• Partner with product, design, data, and operational teams to turn workflow pain points into scalable software solutions with measurable impact.
• Lead Software Development:
  Design, develop, test, and deploy scalable and maintainable software applications using Spring Boot, Java, React, and cloud technologies.
• Architect and Design:
  Collaborate with product managers, designers, and cross‑functional teams to architect robust and scalable solutions that meet business requirements. Provide input into the technical direction of the team and product.
• Cloud Technology Expertise:
  Leverage experience with cloud platforms (AWS, Azure, Google Cloud, etc.) to design cloud‑native applications. Ensure that applications are optimized for scalability, reliability, and cost‑efficiency in a cloud environment.
• Code Reviews & Mentorship:
  Conduct thorough code reviews, ensuring that the team adheres to best practices for clean, maintainable, and efficient code. Mentor junior and mid‑level engineers, fostering a culture of continuous learning and improvement.
• Collaboration and Communication:
  Work closely with product and design teams to define requirements, deliver timely solutions, and provide technical expertise throughout the product lifecycle.
• Performance and Optimization:
  Monitor and optimize the performance of applications. Identify bottlenecks and implement performance improvements across both frontend (React) and backend (Java/Spring Boot) layers.
• Agile Development:
  Participate in Agile development processes, including sprint planning, daily standups, retrospectives, and backlog grooming. Contribute to defining and prioritizing work within the team.
• Stay Current:
  Continuously research and apply emerging technologies and industry best practices to improve the development process and product quality.

• Minimum 8 years of professional software engineering experience with a strong track record of delivering complex software solutions.
• Strong expertise in Java and Spring Boot for building scalable and secure backend systems.
• Experience with building RESTful APIs and microservices architectures.
• Hands‑on experience with React and front‑end web technologies.
• Experience with modern front‑end workflows and state management.
• Practical experience with one or more cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with cloud‑native technologies (e.g., containers, serverless, CI/CD pipelines).
• Strong Understanding of Software Design Patterns:
  Experience in…