MLOps DevOps Engineer — Data & AI Platform

SimplePractice; Santa Monica (CA); On-site; USD 144,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision, life &dis

401(k) plan with company match

Flexible Time Off, wellbeing days, and

Mental health resources

Parental leave & Backup Care

Tuition reimbursement

Employee Resource Groups (ERGs)

Job summary

SimplePractice is 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.

You will build and operate infrastructure for data pipelines, develop CI/CD for model lifecycle, manage Terraform, support Docker/Kubernetes, and collaborate with ML teams to

Qualifications

• 3+ years of experience in DevOps, SRE, or infrastructure engineering.
• End-to-End MLOps/LLMOps expertise: deploying and maintaining ML/AI workflows across lifecycles.
• Strong cloud experience (AWS preferred).
• Proficiency with Terraform and similar IaC tools; experience with Docker and Kubernetes.
• CI/CD and Git-based workflows; experience supporting data platforms (Airflow, Kafka, Spark).
• Programming/scripting (Python, Bash) and observability practices.
• Experience with MLOps tooling (MLflow, SageMaker, Kubeflow) and vector databases.

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 ML 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.

Skills

MLOps/LLMOps

AWS

CI/CD

Observability

Python

Bash

Git workflows

Data platforms

Security & Compliance

Tools

Terraform

Docker

Kubernetes

Airflow

Kafka

Spark

MLflow

SageMaker

Kubeflow

Job description

SimplePractice is 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.

You will build and operate infrastructure for data pipelines, develop CI/CD for model lifecycle, manage Terraform, support Docker/Kubernetes, and collaborate with ML teams to