[Remote] DevOps Engineer, Data & AI Platform
Note: The job is a remote job and is open to candidates in USA. SimplePractice is a health technology company providing practice-management tools for health and wellness clinicians. The company is seeking a DevOps Engineer to support and scale its Data and AI platform in production by building reliable infrastructure, standardizing deployment patterns, and improving performance, observability, and cost efficiency.
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
Skills
- 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
- 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
- Medical, dental, vision, life & disability insurance
- 401(k) plan with company match
- Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
- Mental health resources
- Paid parental leave & Backup Care
- Tuition reimbursement
- Employee Resource Groups (ERGs)
- Employees may also be eligible for an annual bonus or commission.
- Some roles may also be eligible for overtime pay.
Company Overview
Company H1B Sponsorship