Senior Software Engineer

R1 RCM

1d•Remote

About The Position

The Sr. Software Engineer is a .NET-first full stack engineer building and operating our suite of SaaS healthcare applications and services. This role requires an AI-augmented engineering mindset—using approved AI-assisted and agentic development tools (e.g., Claude, Cursor, GitHub Copilot) to accelerate design, implementation, testing, and documentation while maintaining high standards for security, reliability, maintainability, and traceability. As part of a collaborative Agile team, you will own end-to-end delivery across application and data layers, uphold quality standards through automation and testing, and mentor junior engineers as a trusted subject-matter expert.

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 (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; follow security best practices; 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.