Staff Backend Software Engineer

Tebra is an all-in-one EHR+ platform designed for independent healthcare practices. The Staff Backend Software Engineer will modernize the billing platform by designing and implementing scalable systems, embedding AI into backend services, and collaborating with cross-functional teams to improve operational efficiency.

Responsibilities:

• 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

Requirements:

• 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 frontend 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 object-oriented design principles, microservices architectures, and cloud-native application design
• CI/CD & DevOps Practices: Experience with CI/CD pipelines, automated testing, and deployment practices. Familiarity with tools such as Jenkins, Harness, Docker, Kubernetes, or similar
• Database Expertise: Strong experience with both relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB) and an understanding of database design and optimization
• AI Expertise: Demonstrating usage of AI tools supports your daily work when doing research, debug, coding and deployment of new solutions