Hiring: DevOps Engineer, Data & AI Platform Company: SimplePractice Location: Santa Monica, CA Job Posted Time: 2026-09-16 15:37:50 Employment Type: Remote Target Skills & Keywords : AWS, Airflow, Bash, CI/CD, Data Pipeline, Docker, Git, HIPAA, IaC, Infrastructure as Code, Kafka, Kubeflow, Kubernetes, LLM, MLOps, MLflow, Machine Learning, Python, SOC 2, SageMaker, Spark, Terraform About the job 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) •Operational familiarity with CI/CD and Git-based workflows Required Skills: •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 Qualifications: •Operational familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops •Exposure to security and compliance requirements (e.g., SOC 2, HIPAA) Compensation: •Competitive benefits and rewards package •Medical, dental, vision, life & disability insurance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!