MLOps / DevOps Engineer – AI Infrastructure

Sourced from tealhq.com

CreatorIQ is hiring an MLOps / DevOps Engineer to build and operate secure, scalable cloud and ML/AI infrastructure. The role owns CI/CD pipelines, Infrastructure as Code, and production model-serving systems on Databricks and AWS SageMaker. You will partner with ML and software engineers on observability, incident response, and reliable model deployment. The team uses a flexible hybrid work model combining in-person and remote work.

• Provision and manage cloud resources with Terraform, Terragrunt, and CloudFormation
• Maintain and optimize CI/CD pipelines for application and ML model deployments
• Operate and scale ML platform infrastructure including Databricks and SageMaker
• Manage production model-serving capacity, throughput, and autoscaling
• Build monitoring, logging, and alerting for model drift, data quality, and inference health
• Support incident response and root cause analysis for infrastructure issues
• Apply cloud security and DevSecOps practices across environments

• 3+ years in DevOps, Cloud Engineering, or Site Reliability Engineering
• 2+ years supporting production ML/AI infrastructure (model serving, training pipelines, monitoring)
• 2+ years hands-on with Databricks and/or AWS SageMaker in production
• 2+ years with AWS services (EC2, S3, RDS, Lambda, IAM, VPC, SQS, API Gateway)
• 2+ years with Kubernetes and Amazon EKS
• Strong CI/CD experience with GitLab CI/CD or Jenkins
• Hands-on Infrastructure as Code experience (Terraform, Terragrunt, CloudFormation)
• Strong Linux administration and networking fundamentals
• Scripting with Python or Bash

• Google Cloud and multi-cloud experience
• Helm and service mesh (Istio, Linkerd, Traefik)
• Serverless and event-driven architecture on AWS
• Security tooling such as Nessus, Prowler, or Trivy
• Observability platforms such as Coralogix, Prometheus, or Grafana
• FinOps and cloud cost optimization
• API gateway platforms such as Kong or Apigee