DevOps Engineer, Data & AI Platform

SimplePractice
United States
Full timeUSD 144,300 - 180,350 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 3+ yearsSkills: []

Build and operate reliable infrastructure for data pipelines and AI/ML workloads, partnering with ML teams to productionize models. Own CI/CD and the full application and model lifecycle, standardize deployment patterns, and manage Infrastructure as Code with Terraform. Support containerized workloads and orchestration with Docker and Kubernetes, implement observability for data flow and model performance, and improve reliability, scalability, and cost efficiency while enforcing security and access controls.

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FursaFursa
SimplePractice
SimplePractice
1 week 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: 4 hours agoStatus: Live

Job Summary

Build and operate reliable infrastructure for data pipelines and AI/ML workloads, partnering with ML teams to productionize models. Own CI/CD and the full application and model lifecycle, standardize deployment patterns, and manage Infrastructure as Code with Terraform. Support containerized workloads and orchestration with Docker and Kubernetes, implement observability for data flow and model performance, and improve reliability, scalability, and cost efficiency while enforcing security and access controls.
Location: United States
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 application and model lifecycle (build, train, deploy).
  • •Manage Infrastructure as Code (Terraform) across environments.
  • •Support containerized workloads and orchestration (Docker, Kubernetes) and partner to productionize models.
  • •Implement monitoring, logging, and tracing for data flow and model performance, improving reliability, scalability, and cost efficiency while enforcing security and access controls.

Pay and Benefits

Salary: USD 144,300 - 180,350 annually
Perks:Health InsuranceDentalVisionLife &401kPaid HolidaysPaid Parental

Key Requirements

  • •3+ years of experience in DevOps, SRE, or infrastructure engineering.
  • •End-to-End MLOps/LLMOps experience deploying and maintaining ML/AI workflows across the lifecycle of models, datasets, and code.
  • •Strong cloud experience, with AWS preferred.
  • •Proficiency with Terraform (or similar IaC tools) and experience with Docker and Kubernetes.
  • •Experience with CI/CD and Git-based workflows, plus observability practices for data and model performance.
Experience:3+ yearsDevOpsSREMLOpsLLMOpsData platformsAI/ML
Languages:English
Tech Stack:TerraformDockerKubernetesAWSCI/CDGitAirflowKafkaSparkPythonBashMLflowSageMakerKubeflowOuterboundsMetaflowVector databaseToken usage trackingPrompt versioningObservability

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