Cloud Automation Engineer

Tandym GroupNew York, United States
Full TimeOn-siteMidLimited info disclosed
1 views0 applications

Description

A leading services organization in New York City is seeking a Cloud Automation Engineer for a hybrid role, focusing on building scalable cloud automation, infrastructure-as-code solutions, and operational tooling to support enterprise AWS environments and digital platform workloads. About the Opportunity: Schedule: Monday to Friday Hours: Standard business Setting: Hybrid (3 days per week onsite) Responsibilities: Design, develop, and maintain infrastructure-as-code solutions using Terraform and CloudFormation. Build reusable modules, templates, and automation patterns to standardize cloud deployments. Automate provisioning, configuration, lifecycle management, and decommissioning of cloud resources. Support AWS platform automation across governance, identity, access, and policy management. Develop and improve CI/CD pipelines, deployment workflows, monitoring, and operational automation. Partner with engineering, security, networking, and operations teams to improve reliability and cloud operational efficiency. Qualifications: 3-7 years of experience in Cloud Engineering, Automation Engineering, DevOps, Platform Engineering, or Infrastructure Engineering Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience Strong hands-on experience with AWS cloud services in enterprise-scale environments Experience with AWS Organizations, Control Tower, Identity Center, and IAM/identity federation Experience developing infrastructure as code using Terraform and CloudFormation Experience designing and maintaining CI/CD pipelines Proficiency in scripting and automation using Python, PowerShell, Bash, or similar languages Experience implementing cloud governance, security controls, and operational automation Understanding of AWS networking concepts, including VPCs, routing, hybrid connectivity, and shared services Desired Skills: Experience with GitHub Actions, GitLab CI, Azure DevOps, or Jenkins Hands-on experience with Datadog Experience with Azure and/or GCP Experience building reusable enterprise templates and self-service cloud platforms Experience working in large multi-account AWS environments