Senior Member of Technical Staff - SMTS

About the role

Our Collector R&D teams are building new and evolving services for athenahealth customers. We work on solving complex business problems for a broad range of stakeholders, including customers, internal technology-enabled services teams, and multiple BPO vendors. This work requires the ability to design and implement workflows that manage large volumes of claim resolution activity while supporting both manual and automated execution paths. The team develops systems that help organize, route, track, and process work across the revenue cycle. These services are designed to improve consistency, visibility, and throughput while reducing friction in operational workflows. Because the work spans multiple stakeholders and systems, engineers on the team regularly balance business rules, scale, resiliency, maintainability, and integration needs. As a Senior Member of Technical Staff, this role contributes to backend platform and service development that powers these workflows. The role requires strong software engineering fundamentals, hands-on experience with distributed systems, and the ability to collaborate effectively across teams. Success in this role comes from building practical, reliable solutions that support customers, internal users, and operational teams while helping improve system performance and long-term maintainability. Essential Job Responsibilities: Design and develop backend applications and services using Java and Spring Boot to support business-critical workflows and platform capabilities. Build scalable and maintainable microservices that integrate with internal platforms, data stores, and dependent services. Deploy and enhance cloud-based solutions on AWS with attention to reliability, security, observability, and performance. Collaborate with product managers, architects, and engineers to translate business requirements into technical designs and high-quality software solutions. Implement APIs, service integrations, and asynchronous processing patterns that support high-volume transactional workflows. Troubleshoot production issues, analyze root causes, and deliver fixes or improvements that strengthen stability and service quality. Contribute to code reviews, design discussions, and engineering standards that improve maintainability, testability, and team consistency. Optimize service performance, application behavior, and system interactions to improve scalability and operational efficiency. Guide implementation decisions by sharing technical knowledge, identifying tradeoffs, and supporting sound engineering approaches within the team. Use AI tools, where appropriate, to improve day-to-day engineering work such as exploring implementation options, summarizing technical context, generating test ideas, or accelerating code understanding, while validating outputs carefully before applying them. Additional Job Responsibilities: Support release planning, deployment validation, and post-release monitoring for assigned services and features. Document technical designs, service dependencies, and implementation details to improve shared understanding across teams. Participate in backlog refinement, estimation, and sprint planning activities. Contribute to CI/CD improvements and development workflow enhancements that increase engineering efficiency. Assist in strengthening monitoring, alerting, and operational readiness across services. Partner with adjacent teams to align on service contracts, interfaces, and dependency management. Share technical knowledge through walkthroughs, peer collaboration, and technical documentation. Evaluate opportunities to simplify workflows or reduce manual effort through automation and service enhancements. Expected Education & Experience: 4 to 9 years of software engineering experience in backend development, distributed systems, or related application development. Hands-on experience with Java and Spring Boot for building and maintaining production applications and services. Experience designing, developing, and supporting microservices architectures in production environments. Working kno