Abiola Shittu
DevOps | Cloud Engineer | AWS | Azure | Terraform | Kubernetes | CI/CD | Infrastructure as Code | Automation | Security & Compliance | 7+ Years Experience | ML & AI Integration Expertise
- Role
- Cloud Devops Engineer at Uber
- Location
- Staten Island, NY, US
- LinkedIn followers
- 500 followers
About Abiola Shittu
DevOps Engineer & Cloud Engineer with 7+ years of expertise in cloud infrastructure…
Experience
Cloud Devops Engineer
Jun 2023 — Present · Brooklyn, NY, US
Architect scalable & secure cloud infrastructure solutions using Azure, AWS & GCP services, reducing deployment time by 40%.• Configure Amazon EC2 instances, Amazon S3 buckets, and Elastic Load Balancing (ELB) to ensure scalable and highly available infrastructure.• Work on Jenkins CI/CD pipeline jobs for end-to-end automation to build, test, and deliver artifacts and troubleshoot the build issue during the Jenkins build process.• Monitor and analyze Google Stackdriver logs for GKE (Google Kubernetes Engine) and GCP instances, ensuring comprehensive visibility into system performance and application behavior.• Designing and implementing fully automated server build management, monitoring, and deployment Using Technologies like Chef and Puppet.• Developing and enhancing Continuous Integration/Continuous Deployment (CI/CD) pipelines to automate software delivery and improve deployment efficiency using Azure DevOps, AWS CodePipeline, AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy• Develop repeatable Ansible and Azure Resource Manager scripts to construct new dev and test environments rapidly.• Migrate and resettle the applications and server instances from an on-premise environment to AWS and GCP cloud.• Create and maintain Terraform scripts for provisioning infrastructure on AWS, reducing deployment time by 40%.• Manage containerized applications with Docker and Kubernetes, ensuring consistent and scalable environments across development and production.• Revamp the monitoring strategies for Microsoft Azure services, reducing false positive alerts by 60% and enhancing system reliability.• Review scripts and code changes in Bash and Python to ensure compliance with security and operational standards, enhancing system reliability and code quality.• Develop a distribution system (Python) to unify the built process with test automation programs, reducing the test\'s mean time to completion by 4 hours.
Education
University of Augsburg
Master of Science - MS, Materials Science
2022
kogi state University, Nigeria
Bachelor of Science - BS, Pure and Applied Chemistry
2017
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