DevOps Engineer, Data & AI Platform

About this role

<h4><span style="color: rgb(0, 0, 0);"><strong>About Us</strong></span></h4> <p><span style="color: rgb(0, 0, 0);">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.&nbsp;</span></p> <p><span style="color: rgb(0, 0, 0);">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.&nbsp;</span></p> <p><span style="color: #000000;">Award-winning and people-first, SimplePractice is shaping the future of health tech. In 2026, we were recognized by BuiltIn as a Best Remote Company to Work For, Software Guru's Best Places to Code, Becker Healthcare Telehealth Companies to Know, and we won a MedTech Breakthrough Award for Best Practice Management Solution Provider.</span></p> <h4><span style="color: rgb(0, 0, 0);"><strong>The Role</strong></span></h4> <p><span style="color: #000000;">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.</span></p> <h4><br><span style="color: #000000;"><strong>Responsibilities</strong></span></h4> <ul> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Build and operate infrastructure for data pipelines and AI/ML workloads</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Manage Infrastructure as Code (Terraform) across environments</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Support containerized workloads and orchestration (Docker, Kubernetes)</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Partner with Machine Learning teams and engineering to productionize models</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Implement monitoring, logging, and tracing for data flow and model performance</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Improve reliability, scalability, and cost efficiency of data systems</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Enforce security and access controls for data and infrastructure</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Reduce operational overhead through automation and tooling</span></li> </ul> <h4><br><span style="color: #000000;"><strong>Desired Skills &amp; Experience</strong></span></h4> <ul> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">3+ years of experience in DevOps, SRE, or infrastructure engineering</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">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.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Strong cloud experience (AWS preferred)</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Proficiency with Terraform (or similar IaC tools)</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Experience with Docker and Kubernetes</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Familiarity with CI/CD and Git-based workflows</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Programming/scripting (Python, Bash, or similar)</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Experience with observability tools and practices</span></li> </ul> <h4><br><span style="color: #000000;"><strong>Preferred Qualifications</strong></span></h4> <ul> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Experience with real-time or high-throughput data systems</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: #000000;">Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database</span></li> </ul> <p><br><span style="color: rgb(0, 0, 0);"><strong>Benefits</strong></span></p> <p><span style="color: rgb(0, 0, 0);">We offer a competitive benefits program including:</span></p> <ul> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Medical, dental, vision, life &amp; disability insurance</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">401(k) plan with company match&nbsp;</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Mental health resources</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0