DevOps Engineer (Data & AI Platform)

DevOps Engineer (Data & AI Platform)

Role Summary

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

Required Qualifications

• 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
• Work From Home stipend
• Flexible Time Off (FTO) wellbeing days paid holidays and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city
• 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 theSimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices please contact us at.