DevOps Engineer (Data & AI Platform

The Role About Us

Simple Practice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At Simple Practice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust Simple Practice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, Simple Practice is shaping the future of health tech. Recognized by Med Tech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

We are hiring a Dev Ops Engineer to support and scale our Data and AI platform in production. This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.

• Build and operate infrastructure for data pipelines and AI/ML workloads
• Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)
• Manage Infrastructure as Code (Terraform) across environments
• Support containerized workloads and orchestration (Docker, Kubernetes)
• Partner with Machine Learning teams and engineering to product ionize models
• Implement monitoring, logging, and tracing for data flow and model performance
• Improve reliability, scalability, and cost efficiency of data systems
• Enforce security and access controls for data and infrastructure
• Reduce operational overhead through automation and tooling

• 3+ years of experience in Dev Ops, SRE, or infrastructure engineering
• End-to-End MLOps/LLMOps Expertise:
  Experience deploying and maintaining ML/AI workflows. Familiarity with the unique nature of promoting AI assets (models, datasets, and code) through the lifecycle.
• Strong cloud experience (AWS preferred)
• Proficiency with Terraform (or similar IaC tools)
• Experience with Docker and Kubernetes
• Familiarity with CI/CD and Git-based workflows
• Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)
• Programming/scripting (Python, Bash, or similar)
• Experience with observability tools and practices

• Experience with MLOps tooling (e.g., MLflow, Sage Maker, Kubeflow)
• Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops
• Experience with real-time or high-throughput data systems
• Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)
• Experience with specific MLOps tooling (Outerbounds, Sage Maker, Metaflow) and vector database

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Supplemental health and wellness benefit - Modern Health and Vivawell
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays
• Christmas Bonus ( 15-day aguinaldo )
• Monthly meal/grocery voucher via Si Vale card
• Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Annual Bonus
• Tuition Reimbursement
• Saving Funds
• Employee Resource Groups (ERGs)

Thank you for your interest in opportunities at Simple Practice LLC (“Simple Practice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to theSimple

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