Open to opportunities

Azeez Abdulrahman

@azeezabdulrahman

Message

Cloud Engineer building secure, scalable AWS infrastructure and reliable CI/CD.

Nigeria

Message

What I'm looking for

I’m looking for a Cloud/DevOps role where I can build secure, scalable cloud infrastructure, strengthen CI/CD automation, and improve reliability through monitoring, incident response, and Infrastructure as Code.

I’m a Cloud Engineer focused on designing, deploying, and supporting secure, scalable cloud infrastructure across AWS. I built and optimized CI/CD pipelines with GitHub Actions, Jenkins, and GitLab CI, automating deployments through testing to drive deployment success to over 95%.

I use Infrastructure as Code with Terraform to reduce setup time (to less than 30 minutes) and improve consistency by eliminating manual configuration errors. I deploy containerized workloads with Docker and Kubernetes, monitor with CloudWatch and Grafana, and support security with IAM and controlled access, including achieving 99.9% system uptime.

Experience

Work history, roles, and key accomplishments

Current

Cloud Engineer

Current

Fieldnation

Jan 2026 - Present (6 months)

Improved infrastructure consistency by implementing Infrastructure as Code to eliminate manual configuration errors and increased system uptime to 99.9% through constant monitoring and timely incident response. Migrated multiple applications to Docker containers and managed secrets, environment variables, and access controls with documented deployment and operations procedures.

Infrastructure as Code System Monitoring Incident Response Docker Secrets Management Environment Variables Access Control Documentation

Cloud Engineer

Xterns

Feb 2025 - Dec 2025 (10 months)

Built and optimized CI/CD pipelines using GitHub Actions, Jenkins, and GitLab CI, increasing deployment success to over 95% via automated testing and deployment. Managed AWS infrastructure (EC2, S3, IAM, VPC, CloudWatch, RDS), used Terraform to reduce setup time to under 30 minutes, and deployed Dockerized workloads to Kubernetes while monitoring with CloudWatch and Grafana.