Phare Health, now part of R1 and its AI innovation engine, R37 Lab, is seeking a Software Engineer - MLOps to build the first AI-native Healthcare Revenue Operating System. This role involves deploying, serving, and scaling models across inference endpoints and batch/streaming workflows.
Key Responsibilities
Own the production runtime for Phare’s ML stack
Build progressive delivery pipelines with automated rollouts and rollbacks
Harden the platform with Terraform, Kubernetes, and CI/CD
Ensure reproducible, auditable ML releases
Required Qualifications
5+ years of software engineering experience
2+ years of ML Ops experience
Background in operating ML systems at scale
Experience with Docker/Kubernetes, IaaC (e.g., Terraform), and CI/CD
System reliability expertise with progressive delivery and observability
Experience with model registries and stage gates
About Phare Health (R1 R37 Lab)
Phare Health is part of R1 and its AI innovation engine, R37 Lab, bringing frontier clinical reasoning technology together with one of the largest healthcare platforms in the U.S. We are building the first AI-native Healthcare Revenue Operating System that automates medical coding, billing, and follow-up. Our agentic AI systems already power production workflows across 95 of the top 100 U.S. health systems.
Please let Phare Health know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
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