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SimplePractice

SimplePractice offers an all-in-one platform used by more than 160,000 health and wellness providers to manage their private practices. As an employer, the comp

DevOps Engineer

Location

Americas

Posted

5 days ago

Salary

MX$1,124.5K - MX$1,405.6K / year

Seniority

Mid Level

No structured requirement data.

Job Description

DevOps Engineer

SimplePractice

Role Description 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 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 - Privatized Medical, Dental & Vision Coverage - Supplemental health and wellness benefit - Modern Health and Vivawell - Work From Home stipend - Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays - Christmas Bonus (15-day aguinaldo) - Monthly meal/grocery voucher via Si Vale card - Catered Lunch - A relocation bonus for candidates joining us from a different city - Annual Bonus - Tuition Reimbursement - Saving Funds - Employee Resource Groups (ERGs)

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