DevOps Engineer (Data & AI Platform)

SimplePractice
Mexico City
Workplace: OnsiteFull timeMXN 1,124,480 - 1,405,600 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 3+ yearsSkills: ["Reliability focus","Automation","Cost efficiency","Observability"]

Build and operate reliable infrastructure for the Data & AI platform, enabling data pipelines and AI/ML workloads in production. Own CI/CD for application and model lifecycles, manage infrastructure as code with Terraform, and support containerized workloads with Docker and Kubernetes. Partner with ML teams to productionize models while implementing monitoring, logging, and tracing to improve reliability, scalability, security, and cost efficiency through automation.

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FursaFursa
SimplePractice
SimplePractice
1 day 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: 8 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and operate reliable infrastructure for the Data & AI platform, enabling data pipelines and AI/ML workloads in production. Own CI/CD for application and model lifecycles, manage infrastructure as code with Terraform, and support containerized workloads with Docker and Kubernetes. Partner with ML teams to productionize models while implementing monitoring, logging, and tracing to improve reliability, scalability, security, and cost efficiency through automation.
Location: Mexico City
Workplace: Onsite
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.
  • •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 with Docker and Kubernetes.
  • •Implement monitoring, logging, and tracing for data flow and model performance, improving reliability, scalability, cost efficiency, and enforcing security and access controls.

Pay and Benefits

Salary: MXN 1,124,480 - 1,405,600 annually
Perks:Health InsuranceDentalVisionRemote WorkMeal VoucherAnnual BonusMeal AllowancePaid Holidays

Key Requirements

  • •3+ years of experience in DevOps, SRE, or infrastructure engineering.
  • •End-to-end MLOps/LLMOps expertise deploying and maintaining ML/AI workflows through the lifecycle.
  • •Strong cloud experience (AWS preferred) with Terraform (or similar IaC).
  • •Proficiency with Docker and Kubernetes, plus CI/CD and Git-based workflows.
  • •Experience supporting data platforms (e.g., Airflow, Kafka, Spark) and scripting with Python or Bash.
Experience:3+ years
Skills:Reliability focusAutomationCost efficiencyObservability
Languages:English
Tech Stack:TerraformDockerKubernetesCI/CDGitPythonBashAirflowKafkaSparkAWSMLflowSageMakerKubeflowOuterboundsMetaflowVector databaseMLMOpsLLMOpsSOC 2

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