DevOps Engineer

New York · Remotefull timeRemote

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mid

$106k–$127k

H1B: no

Creatoriq DevOps Engineer responsible for supporting and improving cloud and ML/AI infrastructure, automating deployments, and maintaining CI/CD pipelines. Collaborates with Software, ML Engineers, Product support, QA, and Security teams to ensure efficient and secure workflows.

Responsibilities

Cloud Infrastructure, Security & Reliability
Support and maintain scalable, highly available, and secure cloud infrastructure in accordance with company policies and standards.
Provision and manage cloud resources using Infrastructure as Code (Terraform, Terragrunt, CloudFormation).
Implement cloud security best practices, including IAM/role-based access controls, encryption, vulnerability management, and secure infrastructure configurations.
Support containerized environments and orchestration platforms.
Apply DevSecOps principles across infrastructure and deployment workflows.
Participate in disaster recovery planning, testing, and recovery activities.
CI/CD, Automation & Deployment
Maintain and optimize CI/CD pipelines using tools such as GitLab CI/CD and Jenkins, supporting application and ML model deployments.
Improve deployment reliability and support zero-downtime deployment strategies.
Automate configuration management, infrastructure provisioning, and routine operational processes.
Troubleshoot deployment and pipeline issues and implement improvements to prevent recurrence.

Qualification

3+ years of experience in DevOpsScripting experience with PythonExperience supporting data

Required

3+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or a similar infrastructure-focused role.
2+ years of hands-on experience with AWS services such as EC2, S3, RDS, Lambda, IAM, VPC, SQS, API Gateway, or similar services.
2+ years of experience working with containerized environments and orchestration platforms such as Kubernetes and Amazon EKS.
Strong experience building and maintaining CI/CD pipelines using tools such as GitLab CI/CD or Jenkins.
Hands-on experience with Infrastructure as Code using Terraform, Terragrunt, CloudFormation, or similar technologies.
Strong Linux system administration and troubleshooting skills.
Solid understanding of networking fundamentals, including routing, load balancing, network security, and related concepts.
Scripting experience with Python, Bash, or similar languages to automate infrastructure and operational tasks.
Hands-on experience using AI tools to improve engineering workflows, automation, troubleshooting, or agentic use cases.
Experience supporting data, ML, or other compute-intensive production workloads.
Experience with Google Cloud would be valuable, particularly for candidates who have worked across multi-cloud environments.
Familiarity with Helm and service mesh technologies such as Istio, Linkerd, Traefik, or similar tools would be beneficial.