About The Position

The Sr Software Engineer is a .NET-first full stack engineer responsible for building and operating our suite of SaaS healthcare applications and services. This role emphasizes an AI-augmented engineering mindset, utilizing approved AI-assisted and agentic development tools (e.g., Claude, Cursor, GitHub Copilot) to accelerate design, implementation, testing, and documentation, while upholding high standards for security, reliability, maintainability, and traceability. Working within a collaborative Agile team, the engineer will own end-to-end delivery across application and data layers, ensure quality through automation and testing, and mentor junior engineers as a subject-matter expert. R1 is a leader in healthcare revenue management, providing a modular, intelligent platform that integrates automation, AI, and human expertise to strengthen the entire revenue cycle. With over 20 years of experience, R1 partners with 1,000 providers, including 95 of the top 100 U.S. health systems, and processes over 270 million payer transactions annually, offering unmatched operational insight to unlock long-term value for healthcare organizations.

Requirements

  • 6+ years of experience delivering web-based applications and services.
  • Strong CS fundamentals: object-oriented design, data structures, APIs/HTTP, and common web application patterns.
  • Strong proficiency in C# / .NET (modern .NET/.NET Core) and object-oriented design.
  • Experience in Azure, including AKS, App Services, Function Apps, and operational tooling (alerts, monitoring, notifications, Application Insights).
  • Experience using AI-assisted and agentic development approaches with tools such as Claude, Cursor, and GitHub Copilot to improve delivery speed and quality.
  • Experience with modern testing practices, including TDD, unit testing frameworks, and automated test tooling.
  • Understanding of web service standards and technologies (XML, SOAP, JSON, REST, gRPC).
  • Experience with data stores and formats such as MS SQL, Elasticsearch, Databricks, and Parquet (or equivalent).
  • Experience with GitHub and CI/CD pipelines.
  • Strong communication skills, able to explain and document complex ideas clearly and concisely.

Nice To Haves

  • Experience with JavaScript frameworks such as Angular or React.
  • Experience with microservices and containerization (Docker, Kubernetes).
  • Knowledge of big data technologies such as Databricks and Spark.
  • Strong debugging skills and ability to learn new technologies quickly.
  • Understanding of cloud architecture and distributed system design.
  • Knowledge of healthcare data standards (HL7, FHIR, EDI X12).
  • Knowledge of healthcare revenue cycle workflows, EMRs, and practice management systems.

Responsibilities

  • Lead the research, design, development, deployment, and sustainment of secure, scalable, highly available production software.
  • Own delivery end-to-end across UI/API/service and database layers, including code quality, testing, and production readiness.
  • Partner with Product Management to ensure solutions meet business needs, align to intent, and balance usability, performance, and maintainability.
  • Create and maintain technical design documentation aligned to business requirements and solution architecture.
  • Define and enforce engineering best practices using a modern SDLC with CI/CD, automation, auditability, automated testing, and infrastructure/policy as code.
  • Drive an AI-augmented SDLC using AI-assisted and agentic workflows (e.g., Claude, Cursor, Copilot) for design, implementation, refactoring, testing, and documentation with appropriate security and quality controls.
  • Ensure AI usage aligns with enterprise expectations: use approved tools; do not include PHI/PII/secrets in prompts; validate outputs; and apply the same review/testing/security standards to AI-generated work.
  • Build and maintain APIs and services (REST/gRPC) with strong design practices (versioning, backward compatibility, clear contracts).
  • Provide technical expertise across relational and NoSQL data stores and application logic, including data modeling, schema design, and query optimization.
  • Tune queries and refactor business logic for performance; implement concurrency controls to support multi-user functionality.
  • Improve operability and reliability through production-focused engineering, including monitoring/alerting and actionable diagnostics (e.g., Application Insights).
  • Collaborate with architects and engineers to deliver end-to-end solutions that are high-performing, reliable, scalable, and operable.
  • Mentor junior engineers and serve as a subject matter expert (SME); provide constructive code review and technical guidance.
  • Build simple, intuitive products and communicate technology solutions effectively across levels to build trust and alignment.

Benefits

  • competitive benefits package
  • annual bonus plan at a target of 10.00%
  • opportunity to constantly learn, collaborate across groups and explore new paths for your career
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