Samuel Ogar

Cloud Engineer/ AWS DevOps Engineer

Indiana, US ad32mn@r.postjobfree.com +1-915-***-**** https://www.linkedin.com/in/ogar-samuel/

SUMMARY:

Highly skilled DevOps Engineer with 5 years of experience in Automation, and Cloud technologies to enhance system reliability and performance with strong plus knowledge in cloud infrastructure, Terraform, Docker, Kubernetes, EKS, AWS code pipeline, AWS code build, Jenkins

Automate infrastructure provisioning and configuration using Terraform and Infrastructure as Code principles.

Develop and maintain end-to-end CI/CD pipelines using AWS CodePipeline and CodeBuild.

Containerize applications with Docker, ensuring consistency across development, testing, and production environments.

Utilized Kubernetes for efficient orchestration and automated deployment of containerized applications.

Leverage AWS services (EC2, S3, RDS, VPC, IAM) to architect, deploy, and manage scalable cloud environments.

Optimize cloud resources for cost-effectiveness and high availability, utilizing auto-scaling and load balancing.

Employed Shell, Perl, PowerShell, Bash, and Python scripting for automating deployment, configuration, and maintenance processes.

Configured and optimized cloud infrastructure on AWS (EC2, VPC, ELB, RDS, Route 53, ECS, EBS) and Microsoft Azure

Established and maintained robust CI/CD pipelines using Jenkins/Hudson, BuildForge, and version control systems like GIT, SVN, TFS

DevOps Engineer with expertise in managing highly available SaaS production environments. Proficient in observability and monitoring tools such as Grafana, New Relic, Prometheus, and Splunk. Experienced in Amazon Web Services (AWS), Infrastructure as Code using Terraform, Docker, and Kubernetes (EKS). Skilled in CI/CD with Ansible and possesses excellent programming abilities in Python, Go, or Java.

Utilized Ant, Maven, MSBuild, Gradle, and Terraform for building, packaging, and deploying applications in an automated manner

Set up monitoring solutions using Nagios and CloudWatch, integrating with logging tools for performance analysis

Handle version control tools SVN, and Git to version code changes to help developers, and programmers branch, merge, and revert code

Work seamlessly across multiple operating systems, including Linux distributions (Red Hat, CentOS, Ubuntu), UNIX, and Windows A X

TECHNICAL SKILLS:

Scripting:

Shell, Perl, PowerShell, Bash, Python

Cloud Platforms:

AWS EC2, VPC, ELB, RDS, Route 53, ECS, EBS, CloudFormation, Docker, AWS Config, Microsoft Azure,GCP

Automation Tools:

Jenkins/Hudson, Build Forge

Virtualization Tools:

Docker, Kubernetes, VM VirtualBox, VMware

Web/Application Servers:

WebLogic, Apache Tomcat, WebSphere, JBoss, IIS

Databases:

MySQL, DB2, PostgreSQL, MongoDB, DynamoDB

Configuration Tools:

Chef, Puppet, Ansible

Build Tools:

Ant, Maven, MS Build, Gradle, Terraform

Monitoring Tools:

Nagios, CloudWatch, Jira, VSTS

Version Control Tools:

GIT, SVN, TFS

Operating Systems:

Linux (Red Hat, CentOS, Ubuntu), UNIX, Windows A X

WORK EXPERIENCE:

McKinsey & Company

DevOps/Cloud Engineer Jul 2021 - Present

Create and provision multiple AWS resources, ensuring high availability and disaster recovery for applications, achieving 99.99% system uptime.

Experience with monitoring and logging tools such as Application Insights, Log Analytics, and Azure Monitor

Experience in deploying compliant containerization strategies for complex IT infrastructures, ensuring seamless integration across diverse operating systems and networks while driving continuous improvement.

Proficiency in Azure, PowerShell, Bash, Terraform, Jenkins, Kubernetes and Docker

Utilize Terraform to deploy Jenkins on EC2, accelerating development processes by 40% and enhancing project delivery.

Contributed to robust CI/CD pipelines using Kubernetes, Docker, and AWS, streamlining app deployment and fostering efficient DevOps collaboration.

Establish robust monitoring, logging, and alerting systems using Prometheus, and Grafana, providing real-time insights into the health and performance of the cloud infrastructure and applications.

Automate the provisioning of infrastructure on AWS using Terraform and Ansible

Monitoring and managing cloud resources on AWS to optimize performance and cost through auto-scaling, load balancing, and resource allocation

Integrate Kubernetes with network, storage, and security to provide comprehensive infrastructure and orchestrated containers across multiple hosts.

Design, implement, and monitor infrastructure using Infrastructure as Code (IaC) tools like Terraform, ensuring scalability, reliability, and cost-efficiency.

Monitor and manage cloud resources on AWS to optimize performance and cost through auto-scaling, load balancing, and resource allocation.

Participate in the daily scrum to improve system performance and automation capabilities.

Design a full three-tier application using Terraform on AWS and Azure

Led knowledge-sharing sessions on CI/CD and automation, empowering team members to take ownership of their workflows

Manage project issues through Jira and VSTS, fostering effective collaboration among team members

Dell Technologies

DevOps/Cloud Engineer Oct 2019 – Jun2021

Skilled in various programming languages such as Python, Pearl, PowerShell, and Bash, leveraging their capabilities to automate tasks, enhance continuous integration, and optimize backend processes.

Designed and implemented end-to-end CI/CD pipelines utilizing the AWS CI/CD suite of services, including AWS CodePipeline, and AWS CodeBuild. This enabled fully automated builds, testing, and deployments, reducing deployment time and increasing overall release frequency.

Used Jenkins pipelines to drive application builds out to the Docker registry and then deployed to Kubernetes.

Orchestrated containerized applications on Kubernetes, utilizing Docker for containerization, and implemented automated scaling and load balancing to achieve high availability and efficient resource utilization.

Designed and implemented scalable and highly available cloud architectures, leveraging AWS services such as EC2, S3, RDS, and VPC

Developed a custom Python script to automate routine system backups, enhancing disaster recovery capabilities.

Automate the provisioning of infrastructure on AWS using Terraform and Ansible.

Implemented and maintained monitoring and alerting solutions using Prometheus, and Grafana to proactively identify and address performance bottlenecks.

Automatically managed provisioning of AWS infrastructure as code using both Terraform and Cloudformation increasing efficiency by 35%

Installed web/application servers such as WebLogic, Apache Tomcat, WebSphere, JBoss, and IIS, ensuring optimal server configuration and performance.

Designed and deployed a serverless architecture for a three-tier application, utilizing AWS Lambda, API Gateway, S3, RDS, CloudFront, and AWS WAF.

Integrated Maven with SVN to manage, and deploy project-related tags

Proficient in Scrum within an Agile setting, demonstrating expertise in DevOps, agile practices, strong communication, and driving cross-team collaboration to swiftly adapt to evolving technology for enhanced system efficiency.

Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances

EDUCATION:

Bachelor of Computer Science- University of Buea- Cameroon

Certificate

AWS Solution Architecture-Associate

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