About Us

SimplePractice 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 SimplePractice, 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 SimplePractice 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, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

The Role

We are hiring a DevOps 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.

Responsibilities

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 productionize 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

Desired Skills & Experience





3+ years of experience in DevOps, 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

Preferred Qualifications

Experience with MLOps tooling (e.g., MLflow, SageMaker, 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, SageMaker, Metaflow) and vector database

Benefits

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 Versátil 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)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” 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 the SimplePractice California Job Applicant Privacy Notice. For more information about our privacy practices, please contact us at [email protected].

Notice to Candidates

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages. All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, [email protected] or no‑[email protected] email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers. Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range: $1,124,480 MXN - $1,405,600 MXN

📌 DevOps Engineer (Data & AI Platform) (Ciudad de México)
🏢 SimplePractice
📍 Ciudad de México