Senior Software Engineer (Autonomous Revenue Operations)

Athelas; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Commure is building an autonomous backend for healthcare RCM, turning manual denial workflows into intelligent, auditable systems. You will architect and implement scalable services, integrate with cloud platforms, and champion secure, observable automation across high-volume claims.

Join a fast-paced team delivering end-to-end solutions with ownership from design through deployment, while mentoring peers and shaping the platform's technical direction.

Qualifications

• 5+ years of professional software development experience.
• Experience designing and implementing end-to-end solutions and making architecture decisions.
• Strong communication and collaboration skills.

Responsibilities

• Build autonomous backend workflows for healthcare RCM platform.
• Develop LLM-powered automation and audit trails.
• Define technical approaches and gather integration requirements with cross-functional teams.
• Mentor engineers and conduct code reviews to uphold best practices.

Skills

Python

Go

TypeScript

React

Git

GCP

AWS

Docker

Kubernetes

Relational DBs

Non-relational DBs

Monitoring/alerting tools

Excellent communication

Collaboration

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Git

AWS

GCP

Job description

• At Commure, our Revenue Cycle Management (RCM) Core team is building the autonomous backend that turns healthcare’s most manual financial workflows into intelligent systems. The Rejections & Denials team builds the AI and rules infrastructure that fixes claims autonomously
• The team is turning what used to be repetitive human work (reading a denial, figuring out the fix, correcting the claim, resubmitting, appealing) into auditable, automated workflows
• Build LLM-powered automation that decides how to fix a denied claim, with evals, dry runs, and audit trails rigorous enough to let it act autonomously on real money
• Design guardrails that keep automation safe: identity guards, payer-type guardrails (dental, Medicare A vs. B), duplicate-prevention, and dry-run / QA gates before anything touches production
• Scale a rule engine that runs hundreds of configurable conditions and actions per customer across high transaction volumes — safely, idempotently, and with full explainability for operations teams
• Build the observability that turns a long tail of edge cases into a prioritized roadmap: dashboards for automated resubmission approval rate, denial-to-resubmission cycle time, and failure rates broken down by insurance type, denial category, and site
• Generate appeal letters and medical-record packets automatically, with validation scoring that decides what’s safe to send unattended
• Deliver a unified automations console where ops can see and manage every rule engine (billing rules, pre-submission validation, adjustments) in one place
• Contribute to the technical direction of the RCM platform by proposing and implementing improvements to architecture, tools, and technologies
• Build end-to-end products to revolutionize revenue cycle management for providers and administrators
• Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring
• Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs
• Mentor and guide engineers, fostering a culture of technical excellence and continuous learning
• Conduct in-depth code reviews, uphold best practices, and drive architectural improvements across the stack

Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environmentProficiency in backend languages like Python or GoExperience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting toolsProficiency in frontend languages like Typescript and React5+ years of professional software development industry experienceBachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experienceProven track record of designing and implementing end-to-end solutions and making successful architectural decisions