Remote OCI Engineer: Terraform, Kubernetes & Cloud Security

Bright Vision Technologies; Palo Alto (CA); On-site; USD 110,000 - 140,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Oracle Cloud Infrastructure Engineer to architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle’s next-generation public cloud.

In this role you will own the full OCI engineering lifecycle, from landing-zone design and infrastructure-as-code, through workload migration and ongoing operations, including cost optimization and observability.

Qualifications

• Bachelor's degree in Computer Science or a related technical discipline.
• 5+ years of cloud engineering experience with hands-on OCI.
• Production-level Terraform experience.
• Experience with OCI compute, networking, storage, identity, and database services.
• Hands-on Oracle Container Engine for Kubernetes (OKE).
• CI/CD pipelines for cloud workloads experience.
• Scripting with Python and Bash.
• Understanding of cloud security, IAM, and compliance.
• Observability tooling and incident response experience.
• Excellent troubleshooting, communication, and documentation skills.

Responsibilities

• Architect, deploy, and operate large-scale OCI environments.
• Own landing-zone design and infrastructure-as-code.
• Migrate workloads and manage ongoing operations with cost optimization and observability.
• Collaborate with database, application, and security teams to deliver well-engineered cloud platforms.

Skills

Communication skills

Documentation

Troubleshooting

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

OCI

OKE

CI/CD

Python

Bash

IAM

Observability

Security

Incident response

Job description

Bright Vision Technologies is seeking an experienced Oracle Cloud Infrastructure Engineer to architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle’s next-generation public cloud.

In this role you will own the full OCI engineering lifecycle, from landing-zone design and infrastructure-as-code, through workload migration and ongoing operations, including cost optimization and observability.