DevOps Engineer (Data & AI Platform)

SimplePractice
Mexico City
Full timeFunction: DevOps, Cloud & InfrastructureSkills: []

Build and operate infrastructure that powers data pipelines and AI/ML workloads in production. Develop CI/CD for the application and model lifecycle, manage Infrastructure as Code with Terraform, and support containerized workloads using Docker and Kubernetes. Collaborate with Machine Learning teams to productionize models, while implementing monitoring, logging, and tracing to improve reliability, scalability, and cost efficiency—along with security and access controls.

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FursaFursa
SimplePractice
SimplePractice
5 days ago

DevOps Engineer (Data & AI Platform)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and operate infrastructure that powers data pipelines and AI/ML workloads in production. Develop CI/CD for the application and model lifecycle, manage Infrastructure as Code with Terraform, and support containerized workloads using Docker and Kubernetes. Collaborate with Machine Learning teams to productionize models, while implementing monitoring, logging, and tracing to improve reliability, scalability, and cost efficiency—along with security and access controls.
Location: Mexico City
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Build and operate infrastructure for data pipelines and AI/ML workloads in production.
  • •Develop and maintain CI/CD for the application and model lifecycle (build, train, deploy).
  • •Manage Infrastructure as Code across environments using Terraform.
  • •Support containerized workloads and orchestration using Docker and Kubernetes.
  • •Implement monitoring, logging, and tracing to ensure performance and model/data reliability, scalability, and cost efficiency.

Pay and Benefits

Perks:Health InsuranceDentalVisionRemote WorkAnnual BonusMeal VoucherMeal Allowance

Key Requirements

  • •3+ years of experience in DevOps, SRE, or infrastructure engineering.
  • •End-to-end MLOps/LLMOps experience deploying and maintaining ML/AI workflows.
  • •Strong cloud experience (AWS preferred).
  • •Proficiency with Terraform (or similar IaC tools) and experience with Docker and Kubernetes.
  • •Experience with CI/CD and Git-based workflows, plus familiarity with data platforms (e.g., Airflow, Kafka, Spark).
Experience:ML/AIMLOpsLLMOpsData pipelinesSREInfrastructure engineering
Languages:English
Tech Stack:TerraformDockerKubernetesAWSCI/CDGitAirflowKafkaSparkPythonBashObservabilityMonitoringLoggingTracingMLflowSageMakerKubeflowOuterboundsMetaflow

Company Brief

SimplePractice
Provides practice management and telehealth software for behavioral health and wellness professionals, offering scheduling, billing, documentation, and secure telehealth services to streamline clinical workflows.
Industry: HealthTech
Headquarters: Lehi, United States
Founded: 2012
WebsiteLinkedIn