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DevOps Engineer

SimplePractice

Location: United States · Dominican Republic · Mexico City +1
Workplace: Remote
Employment: Full Time
Salary: MXN 1,124,480–1,405,600/yr

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Posted 1mo ago

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Responsibilities

Build and operate infrastructure for data pipelines and AI/ML workloads
Develop and maintain CI/CD for application and model lifecycle
Manage Infrastructure as Code using Terraform
Support containerized workloads and orchestration with Docker and Kubernetes
Partner with Machine Learning teams 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

Requirements

3+ years of experience in DevOps, SRE, or infrastructure engineering
Experience deploying and maintaining ML/AI workflows
Strong cloud experience with AWS
Proficiency with Terraform or similar IaC tools
Experience with Docker and Kubernetes
Experience with CI/CD and Git-based workflows
Experience supporting data platforms like Airflow, Kafka, or Spark
Programming or scripting experience with Python or Bash

Preferred

Experience with MLOps tooling such as MLflow, SageMaker, or Kubeflow
Familiarity with LLM-based systems and AI observability
Experience with real-time or high-throughput data systems
Exposure to security and compliance requirements like SOC 2 or HIPAA
Experience with MLOps tooling like Outerbounds or Metaflow
Experience with vector databases

Skills

AWS
Terraform
Docker
Kubernetes
Airflow
Kafka
Spark
Python
Bash
MLflow
SageMaker
Kubeflow
Outerbounds
Metaflow

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