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","Collaboration","Automation mindset","Security awareness","Systems thinking"]

Build and operate reliable infrastructure for data pipelines and AI/ML workloads, standardizing deployment patterns from CI/CD through production. Implement infrastructure as code with Terraform, support containerized orchestration with Docker and Kubernetes, and work closely with ML teams to productionize models. Drive performance with monitoring, logging, and tracing, while improving reliability, scalability, and cost efficiency across compute-intensive systems and enforcing secure access controls.

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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: 2 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and operate reliable infrastructure for data pipelines and AI/ML workloads, standardizing deployment patterns from CI/CD through production. Implement infrastructure as code with Terraform, support containerized orchestration with Docker and Kubernetes, and work closely with ML teams to productionize models. Drive performance with monitoring, logging, and tracing, while improving reliability, scalability, and cost efficiency across compute-intensive systems and enforcing secure access controls.
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 application and model lifecycle (build, train, deploy).
  • •Manage Infrastructure as Code across environments with Terraform.
  • •Support containerized workloads and orchestration using Docker and Kubernetes.
  • •Implement monitoring, logging, and tracing to improve reliability, scalability, and cost efficiency, while enforcing security and access controls.

Pay and Benefits

Salary: MXN 1,124,480 - 1,405,600 annually
Perks:Health InsuranceDentalVisionRemote WorkPaid LeaveMeal AllowanceAnnual BonusRelocation

Key Requirements

  • •3+ years of experience in DevOps, SRE, or infrastructure engineering.
  • •End-to-End MLOps/LLMOps experience deploying and maintaining ML/AI workflows through the model lifecycle.
  • •Strong cloud experience, preferably AWS.
  • •Proficiency with Terraform (or similar IaC) plus hands-on Docker and Kubernetes experience.
  • •Experience with CI/CD and Git-based workflows, including supporting data platforms (e.g., Airflow, Kafka, Spark).
Experience:3+ yearsDevOpsSREInfrastructureMLOpsLLMOpsData platformsAI/ML
Skills:Reliability focusCollaborationAutomation mindsetSecurity awarenessSystems thinking
Languages:English
Tech Stack:TerraformDockerKubernetesAWSCI/CDGitPythonBashAirflowKafkaSparkMLflowSageMakerKubeflowOuterboundsMetaflowVector databaseLLM-based systemsObservabilityMonitoring

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