DevOps Engineer (AWS / Kubernetes / Terraform)

CreatorIQ is seeking a DevOps Engineer to build, operate, and improve the cloud infrastructure supporting production applications and AI/ML capabilities. The role focuses on AWS, Kubernetes, CI/CD, infrastructure as code, observability, security, automation, and supporting reliable data- and ML-intensive workloads.

Responsibilities:

• Build, maintain, and improve scalable and highly available AWS infrastructure
• Manage containerized production workloads using Kubernetes and Amazon EKS
• Provision and manage infrastructure using Terraform, Terragrunt, CloudFormation, or similar IaC tools
• Build and maintain CI/CD pipelines using GitLab CI/CD, Jenkins, or similar technologies
• Automate infrastructure provisioning, deployments, configuration, and operational processes using Python, Bash, and other automation tools
• Improve system reliability through monitoring, logging, alerting, incident response, and root cause analysis
• Implement cloud security and DevSecOps best practices across infrastructure and deployment workflows
• Support production data, ML, and compute-intensive workloads
• Partner with ML Engineering on infrastructure for ML pipelines, model deployment, model serving, and monitoring
• Help operate and scale Databricks infrastructure, including clusters, jobs compute, ML pipelines, and Model Serving
• Explore practical uses of AI-assisted engineering and agentic tooling to improve infrastructure management, troubleshooting, and operational efficiency
• Participate in disaster recovery planning and help improve infrastructure reliability and cost efficiency

Requirements:

• • 3+ years of experience in DevOps, Platform Engineering, Cloud Engineering, SRE, or a similar infrastructure-focused role
• • 2+ years of hands-on AWS experience , including services such as EC2, S3, RDS, IAM, VPC, Lambda, SQS, or API Gateway
• • 2+ years working with Kubernetes , ideally Amazon EKS
• • Strong hands-on experience with Terraform or another Infrastructure as Code technology
• • Experience building and maintaining CI/CD pipelines using Jenkins, GitLab CI/CD, or similar tools
• • Strong Linux administration and troubleshooting skills
• • Good understanding of networking, load balancing, IAM, and cloud security
• • Experience scripting and automating infrastructure tasks with Python, Bash , or similar languages
• • Experience supporting production data, ML, or other compute-intensive workloads
• • Hands-on experience using AI tools for engineering, automation, troubleshooting, or operational workflows
• Experience with Databricks/MLOps, ML model serving, Prometheus/Grafana/Coralogix, Helm, service mesh technologies, GCP, FinOps, cloud security tooling, or API management platforms is a strong plus