We’re looking for a

DevOps Engineer

to join CreatorIQ and help build, operate, and improve the cloud infrastructure behind our production applications and growing AI/ML capabilities.

You’ll work across AWS infrastructure, Kubernetes, CI/CD, Infrastructure as Code, observability, security, and automation. You’ll also partner closely with Software and ML Engineers to support reliable deployment and operation of data- and ML-intensive workloads.

This is a great opportunity for an experienced DevOps, Platform, Cloud, or SRE engineer who enjoys hands-on infrastructure work and wants to grow further into

AI and MLOps infrastructure

What you’ll do

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.

What we’re looking for

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.

Nice to have

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.

Compensation

$106,000–$127,000 USD/year

DevOps Engineer (AWS / Kubernetes / Terraform)

Job description