Job Title: Cloud Engineer-Cloud DevOps Engineer

Company Name: Oracle

Job Url: https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/11272?jr_id=69b1fc51d04c69566c74a0fa

Job Description: Job Identification
11272
Posting Date
11/03/2026, 14:39
Job Role
Cloud Engineer-Cloud DevOps Engineer
Experience (In Years)
6-9
Job Location
Remote US
JOB DESCRIPTION
This is a hands-on role focused on infrastructure automation, CI/CD, cloud platform management, and system reliability, helping ensure our AI and data workloads run efficiently in a modern cloud environment.

RESPONSIBILITIES
Design, implement, and manage cloud infrastructure on AWS to support AI, data, and application workloads
Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or similar
Build and manage CI/CD pipelines to support automated build, test, and deployment of applications and data services
Manage containerized environments using Docker and container orchestration platforms
Implement monitoring, logging, and alerting frameworks to ensure high availability and reliability of systems
Optimize infrastructure performance, scalability, and cost across cloud environments
Implement and maintain security best practices, including IAM policies, network security, and secrets management
Exposure to AI initiatives and Experience supporting infrastructure needs for AI workflows.
Collaborate with data engineers to support deployment and scaling of AI and data platforms
Support platform reliability through automation, system monitoring, and incident response processes
Maintain documentation for infrastructure architecture, deployment processes, and operational procedures
QUALIFICATIONS
6–9 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles
Strong hands-on experience with AWS cloud services
Experience implementing Infrastructure as Code using Terraform, CloudFormation, or similar tools
Experience with CI/CD tools and automation pipelines
Familiarity with containerization technologies such as Docker and container orchestration platforms
Experience implementing monitoring and logging solutions for production systems
Understanding of cloud networking, security best practices, and identity management
Experience supporting data platforms, distributed systems, or AI/ML workloads is a plus
Strong troubleshooting, automation, and collaboration skills