MLOps / DevOps Engineer – AI Infrastructure
CreatorIQ · Remote · New York ·
COMPENSATION
$121k – $155k
Listed on the employer's job board (Ashby)
- Hybrid work model
- AWS + Kubernetes
- MLOps focus
- Terraform & GitLab CI
- 3+ years experience
You will join the DevOps team to maintain secure, scalable cloud environments and Infrastructure as Code. Your work ensures high availability for AI products and supports collaboration with Software and ML Engineering teams.
The role focuses on optimizing deployment workflows, implementing security best practices, and operating production ML infrastructure. You will use automation and observability tools to improve system reliability and engineering efficiency.
What you'll do
- Provision cloud resources using Terraform, Terragrunt, or CloudFormation
- Maintain CI/CD pipelines with GitLab CI/CD and Jenkins
- Operate ML platform infrastructure including Databricks and SageMaker
- Implement cloud security best practices and IAM controls
- Monitor model drift, data quality, and inference performance
- Support incident response and perform root cause analysis
- Automate configuration management and routine operational tasks
What you'll need
- 3+ years in DevOps, Cloud Engineering, or SRE roles
- 2+ years supporting production ML/AI infrastructure
- Hands-on experience with Databricks or AWS SageMaker
- 2+ years working with AWS services like EC2, S3, and Lambda
- Experience with Kubernetes and Amazon EKS
- Strong skills in building CI/CD pipelines
- Proficiency in Infrastructure as Code tools
- Solid Linux system administration and troubleshooting skills
- Scripting experience with Python or Bash
Nice to have
- Experience with Google Cloud in multi-cloud environments
- Familiarity with Helm and service mesh technologies
- Knowledge of serverless and event-driven architectures
- Experience with cloud security tools like Trivy or Prowler
- FinOps experience for cloud cost optimization
- Hands-on use of AI tools for engineering workflows
Stack
- AWS
- Terraform
- Terragrunt
- CloudFormation
- GitLab CI/CD
- Jenkins
- Databricks
- SageMaker
- Kubernetes
- Amazon EKS
- Prometheus
- Grafana
- Coralogix
- Python
- Bash
How you'll work
- Flexible work model combining remote and in-person
- Collaboration with international teams across time zones
What you get
- 15 days of vacation plus floating and company holidays
- Comprehensive medical, dental, and vision insurance
- 401(k) plan for future planning
- Work from home stipend for office setup
- Paid parental leave and wellness benefits
- Access to learning platform and training tools