Senior Staff Software Engineer
R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems, and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry’s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration.
As a Senior/Staff Software Engineer, you will own and evolve foundational systems that power AI‑driven decisioning, automation, and data flow across R1’s healthcare platform. This is not a role where you wait for requirements or operate in a narrow lane. You will:
Shape technical direction and architectural standards used by multiple teams
Build systems that must be correct, explainable, and resilient—because they directly impact patient experience, provider operations, and financial outcomes
Operate at the intersection of data engineering, distributed systems, and AI‑enabled workflows
What You’ll Actually Be Responsible For
Platform & Architecture Ownership
Define and evolve core backend architectures that support AI reasoning, large‑scale data ingestion, and real‑time workflow orchestration
Make system‑level tradeoffs across performance, cost, reliability, security, and regulatory constraints
Influence long‑term technology strategy in partnership with senior engineering and product leadership
Systems at Scale
Partner closely with ML and applied AI teams to productionize AI systems, turning models into dependable, auditable software
Build the non‑glamorous but mission‑critical layers that determine whether AI systems are trusted and adopted in production
Ensure systems are observable, debuggable, and resilient under real‑world healthcare workloads
AI‑Adjacent Infrastructure
Partner closely with ML and applied AI teams to productionize AI systems, turning models into dependable, auditable software
Build the non‑glamorous but mission‑critical layers that determine whether AI systems are trusted and adopted in production
Technical Leadership
Act as a multiplier: raise engineering standards through design reviews, architectural guidance, and mentorship
Lead ambiguous, cross‑team initiatives where success is defined by outcomes, not tickets closed
Be a technical voice others rely on when the problem is complex and the stakes are high
Required Skills:
10+ years building and operating production software systems of meaningful scale
Proven experience influencing architecture beyond a single team or service
Deep backend or data‑platform expertise (Scala, Python, SQL)
Experience with distributed data processing (e.g., Spark, streaming, batch/ETL, large‑scale workflow orchestration)
Comfort working in cloud environments (Azure, AWS, GCP) with strong opinions about reliability and observability
Ability to reason about messy, regulated domains where correctness matters more than elegance
Bonus (but not required)
Healthcare data experience (claims, clinical data, Epic, FHIR, HL7) - 4 stars
Experience operationalizing ML/AI systems in production - 2 stars
Prior Staff+ scope in a platform, infrastructure, or data‑heavy organization - 4 stars
Large scale (peta-bytes) data platform with Databricks experience – 5 stars
For this US-based position, the base pay range is $151,851.00 - $282,821.89 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
This job is eligible to participate in our annual bonus plan at a target of 20.00%
The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.
Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.
R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.
CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent
To learn more, visit: R1RCM.com
Visit us on Facebook
Apply To This Job
As a Senior/Staff Software Engineer, you will own and evolve foundational systems that power AI‑driven decisioning, automation, and data flow across R1’s healthcare platform. This is not a role where you wait for requirements or operate in a narrow lane. You will:
Shape technical direction and architectural standards used by multiple teams
Build systems that must be correct, explainable, and resilient—because they directly impact patient experience, provider operations, and financial outcomes
Operate at the intersection of data engineering, distributed systems, and AI‑enabled workflows
What You’ll Actually Be Responsible For
Platform & Architecture Ownership
Define and evolve core backend architectures that support AI reasoning, large‑scale data ingestion, and real‑time workflow orchestration
Make system‑level tradeoffs across performance, cost, reliability, security, and regulatory constraints
Influence long‑term technology strategy in partnership with senior engineering and product leadership
Systems at Scale
Partner closely with ML and applied AI teams to productionize AI systems, turning models into dependable, auditable software
Build the non‑glamorous but mission‑critical layers that determine whether AI systems are trusted and adopted in production
Ensure systems are observable, debuggable, and resilient under real‑world healthcare workloads
AI‑Adjacent Infrastructure
Partner closely with ML and applied AI teams to productionize AI systems, turning models into dependable, auditable software
Build the non‑glamorous but mission‑critical layers that determine whether AI systems are trusted and adopted in production
Technical Leadership
Act as a multiplier: raise engineering standards through design reviews, architectural guidance, and mentorship
Lead ambiguous, cross‑team initiatives where success is defined by outcomes, not tickets closed
Be a technical voice others rely on when the problem is complex and the stakes are high
Required Skills:
10+ years building and operating production software systems of meaningful scale
Proven experience influencing architecture beyond a single team or service
Deep backend or data‑platform expertise (Scala, Python, SQL)
Experience with distributed data processing (e.g., Spark, streaming, batch/ETL, large‑scale workflow orchestration)
Comfort working in cloud environments (Azure, AWS, GCP) with strong opinions about reliability and observability
Ability to reason about messy, regulated domains where correctness matters more than elegance
Bonus (but not required)
Healthcare data experience (claims, clinical data, Epic, FHIR, HL7) - 4 stars
Experience operationalizing ML/AI systems in production - 2 stars
Prior Staff+ scope in a platform, infrastructure, or data‑heavy organization - 4 stars
Large scale (peta-bytes) data platform with Databricks experience – 5 stars
For this US-based position, the base pay range is $151,851.00 - $282,821.89 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
This job is eligible to participate in our annual bonus plan at a target of 20.00%
The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.
Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.
R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.
CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent
To learn more, visit: R1RCM.com
Visit us on Facebook
Apply To This Job