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CreatorIQ

DevOps Engineer

New York (Remote)$106k–$127kfulltimemidAdded today

About this role

CreatorIQ seeks a DevOps Engineer to build and maintain scalable cloud infrastructure, CI/CD pipelines, and MLOps platforms supporting AI-driven products. You'll automate deployments, implement security best practices, and collaborate across engineering teams to ensure reliable, secure, and efficient development workflows.

What you'll do

  • Design and maintain scalable, secure cloud infrastructure using IaC tools like Terraform and CloudFormation
  • Optimize CI/CD pipelines with GitLab CI/CD and Jenkins for application and ML model deployments
  • Operate MLOps infrastructure including Databricks clusters, ML pipelines, and model-serving endpoints
  • Implement cloud security, IAM controls, encryption, and DevSecOps principles across infrastructure
  • Build monitoring and alerting solutions using Prometheus, Grafana, Coralogix, and CloudWatch
  • Support incident response, perform root cause analysis, and collaborate on disaster recovery planning

What they're looking for

  • Infrastructure as Code (Terraform, CloudFormation, Terragrunt)
  • CI/CD tools (GitLab CI/CD, Jenkins)
  • Cloud platforms (AWS, GCP, or Azure)
  • Container orchestration and containerization
  • Monitoring and observability tools (Prometheus, Grafana, Coralogix, CloudWatch)
  • MLOps and Databricks experience
  • Cloud security and IAM management
  • Scripting and automation (Python, Bash, or similar)
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CreatorIQ

CreatorIQ builds enterprise influencer marketing software powered by machine learning systems that process vast data at scale. The company is hiring Strategic Solutions Engineers to guide complex client implementations and ML Engineers to develop and maintain production machine learning systems including NLP, embeddings, and LLM features.

View all jobs at CreatorIQ

Likely interview questions

  • Tell us about your experience designing and maintaining infrastructure using IaC tools—which tools have you used and what challenges did you solve?
  • How have you optimized CI/CD pipelines in your previous roles, and what metrics did you use to measure improvement?