CV Profile No.87361

Experience in the following industries :

• Call centers, hotlines
• Engineering, development studies
• IT, software engineering, Internet
• Telecom

Professional experience

• Platform Engineer
• Sigma Financial AI
• 08.2023 - 06.2024
• ● Developed metrics and maintained monitoring and observability solutions using tools like Datadog. ● Built dedicated Rust Docker Files for increased security and code quality. ● Led the successful migration for 110+ servers from on-premises to AWS (EC2 & RDS) cloud-based infrastructure, resulting in a reducing operational cost by 30%. ● Inspected and built Kubernetes clusters improving system reliability/security by 90%. ● Configured/Troubleshooted Kubernetes CNI plugin-related failures. ● Designed and maintain CI/CD pipelines to automate the build, test, and deployment processes with Github CI. ● Monitored and troubleshooted pipeline failures, health and states of services and applications (Kubernetes pods/containers) across different environments ensuring minimal downtime.

• Jr DevOps Engineer
• Unisys
• 02.2020 - 05.2022
• ● Identified and eliminated manual, repetitive tasks through automation, develop Python scripts and used Terraform to automate infrastructure management, configuration, and maintenance. ● Improved build speed by 40% by implementing AWS ECR Pull-through Cache. ● Built Lambda functions to create alerts integrated with Github webhook. ● Built application performance monitoring and alerting dashboards on DataDog resolving over 100 system issues. ● Automated the provisioning of AWS compute services (EC2, ECS) using Terraform for faster deployment and rollback resulting in a 30% increase in system efficiency.

• Tier 2 Technical Support Specialist
• Howard University
• 03.2018 - 03.2019
• ● Collaborated with developers to establish practices for deploying and managing apps. Help them use containerization tech such as Docker and Nomad for reliable and scalable app deployment. ● Created bash scripts/helm charts for a automated provisioning of Kubernetes resources. ● Managed Kubernetes clusters/EKS to optimize scalability and availability. ● Monitored user accounts and modified user permissions in IAM Roles to improve security. ● Maintained detailed documentation of infrastructure and configurations. ● Troubleshooted and diagnosed and remediated technical issues (system downtime, network failures, latency issues, build errors.)