Cloud Engineer Infrastructure

Sylvester Umudi

DevOps/Cloud Engineer

Evans, GA +1-617-***-**** **********@*****.*** LinkedIn SUMMARY

DevOps/Cloud Engineer with 6 years of hands-on experience in designing, deploying, and managing cloud infrastructure and DevOps pipelines. Expertise in leveraging AWS, Azure, and GCP to deliver scalable, secure, and cost- efficient cloud solutions. Proficient in implementing automation using Ansible, Terraform, and CI/CD tools like Jenkins, GitLab, and CodePipeline. Experienced in container orchestration with Docker and Kubernetes, and adept at utilizing monitoring tools such as Prometheus and Grafana to ensure system reliability. Proven ability to lead seamless cloud migrations, optimize performance, and enforce robust security practices using AWS services and scripting languages like Python and PowerShell. Skilled in collaborating with cross-functional teams, automating workflows, and driving operational efficiency to support business objectives.

SKILLS

Cloud Platforms: AWS, Azure, GCP

AWS Services: AWS Lambda, Amazon CloudWatch, AWS EC2, S3, RDS, Amazon S3 Glacier, VPC, AWS IAM, AWS WAF, Cognito, DynamoDB, AWS CloudFormation

Scripting & Programming: PowerShell, Python, Shell Scripting, Bash, C++ Configuration Management: Ansible, Puppet, Helm, GitOps, ArgoCD CI/CD Tools: Jenkins, GitLab, CodePipeline, Bitbucket, GitHub, Nexus, SonarQube, ArgoCD Containerization & Orchestration: Docker, Kubernetes, ECS Infrastructure as Code (IaC): Terraform, CloudFormation Monitoring & Logging: Prometheus, Grafana, Nagios, Zabbix, AWS CloudWatch Security Tools: OWASP ZAP, Terrascan, Veracode, Checkov, Trivy Version Control: Git, SVN

Web Servers: Apache services, Nginx, Tomcat

Database Systems: MySQL, PostgreSQL, Oracle, MongoDB, DynamoDB Protocols & Networking: TCP/IP, DNS, DHCP, FTP

Service Management: ServiceNow

Project Management: Agile, Scrum, Waterfall, Kanban Configuration Files: YAML, JSON

Operating Systems: Linux servers (Ubuntu and CentOS), RHEL6 to RHEL7 Build Tools: Apache Maven

Soft Skills: Effective Communication, Team Collaboration, Problem Solving, Time Management, Adaptability, Creativity, Attention to Detail, Leadership Skills

EDUCATION

Bachelor of Science in Economic - University of Benin, Nigeria CERTIFICATIONS

AWS Certified Solutions Architect – Associate Mar 2023 – Mar 2026 AWS Certified Security – Specialty Mar 2024 – Mar 2027 CompTIA Cloud+ Certified Jul 2020 – Mar 2026

CompTIA Security+ Certified Dec 2021 – Dec 2027

CompTIA Secure Cloud Professional Dec 2021 – Jul 2026 Cisco Certified Network Associate (CCNA) Feb 2018 – Nov 2026 EXPERIENCE

DevOps/Cloud Engineer Oct 2021 – Present

McKinsey & Company, Atlanta, GA

• Architect custom deployment strategies using Docker and Kubernetes to achieve blue-green and canary deployments, enhancing system availability and ensuring seamless rollouts of new features.

• Enhance operational efficiency by designing CI/CD pipelines with Jenkins and automating infrastructure alerts, cutting error response times by 85%.

• Implement automation solutions through PowerShell, Helm, and Puppet, optimizing containerization with ECS and boosting process efficiency.

• Utilize SVN and CodePipeline for version control and CI/CD, fostering cross-team collaboration and communication.

• Integrate ArgoCD with Prometheus and Grafana to track deployment health and performance metrics, proactively addressing issues and improving system reliability.

• Safeguard code quality and security by automating scans with SonarQube, OWASP ZAP, Terrascan, and Veracode to detect and resolve vulnerabilities early.

• Customize CI/CD pipelines to align with the company’s technology stack, cutting deployment times by 60% and increasing release frequency by 40%.

• Spearhead DevOps initiatives using Python, Ansible, and Terraform, elevating deployment efficiency by 40% and minimizing system downtime by 25%.

• Build and manage infrastructure as code (IaC) templates using YAML and JSON, automating deployments and enhancing infrastructure uniformity.

• Elevate security and operational efficiency by applying Nagios and Kubernetes best practices, while optimizing AWS infrastructure with Terraform and Ansible.

• Streamline CI/CD processes across multiple projects, reducing deployment errors by 90% and cutting deployment times by 75%.

• Enforce AWS MFA and streamline user management, enhancing security compliance by 20% and improving infrastructure tracking accuracy by 35% through Terraform and Git integration.

• Direct the migration of 30+ enterprise clients from on-premise infrastructure to Azure cloud, ensuring secure and efficient transitions.

• Establish CI/CD pipelines by integrating Jenkins, GitLab, and CodePipeline with Bitbucket and GitHub, reducing deployment cycle times by 60%.

• Administer MySQL, PostgreSQL, Oracle, and MongoDB databases, boosting query performance and ensuring high availability.

• Configure essential network services like TCP/IP, DNS, DHCP, and FTP for enterprise applications, ensuring secure and stable communication across systems.

DevOps/Cloud Engineer Jul 2018 – Sep 2021

Dell Technologies, New York, NY

• Spearheaded AWS Lambda and Amazon CloudWatch deployment, reducing incident response times by 50%.

• Engineered scalable cloud solutions using AWS EC2, S3, RDS, and Lambda, cutting infrastructure costs by 20% and bolstering system resilience.

• Orchestrated the migration of over 150 physical servers to AWS, reducing operational costs by 30% and strengthening disaster recovery capabilities.

• Optimized server configurations using Python and Shell Scripting, enhancing system performance and minimizing manual intervention by 30%.

• Automated CI/CD pipelines through Azure DevOps, decreasing deployment downtime by 40%.

• Deployed EC2 and Amazon RDS instances for MySQL, ensuring high availability and automated backups.

• Structured a three-tier architecture (web, application, and database layers) in AWS, improving security and the separation of concerns.

• Implemented infrastructure as code (IaC) with Terraform and Ansible, streamlining provisioning efficiency by 50% and improving configuration accuracy by 30%.

• Established a Virtual Private Cloud (VPC) with subnetting, Internet Gateways (IGW), and Route Tables, securing and isolating the AWS environment.

• Developed disaster recovery plans utilizing AWS CloudFormation and Amazon S3 Glacier, reducing recovery time objectives (RTO) to under one hour.

• Selected appropriate AWS services to meet diverse application needs, including EC2 for computing, RDS for databases, and S3 for storage.

• Enforced security protocols by integrating AWS IAM, Cognito for user authentication, and AWS WAF for web vulnerability protection.

• Executed a multi-AZ AWS environment for improved application availability and load balancing, reducing latency by 40% across user endpoints.

• Utilized GCP tools to redesign data infrastructure, boosting data processing speed by 25%.

• Enhanced cloud network performance with Azure Networking Services, reducing application load times by 45%.

• Automated applications were deployed on the Google Kubernetes Engine, increasing deployment speed by 55%. PROJECTS

Building a CI/CD Pipeline for a Health Care Organization: We created a CI/CD pipeline to streamline the software development process for an application designed for the company. This automated pipeline handles testing, packaging, and deploying the app. Its main purpose is to reduce the time it takes to bring the app to market while ensuring that end users receive a high-quality experience.

Achievements:

• Improved system reliability and scalability, leading to a 99.9% increase in system availability and a 50% improvement in scalability.

• Enhanced performance and maintenance optimization with automated CI/CD pipelines, resulting in a 40% boost in system performance and a 60% reduction in deployment time.

• Accelerated development and deployment cycles, reducing the time from code push to production by 70% and streamlining product catalog updates.

• Implemented migration and optimization of a monolithic on-premise application to AWS cloud, improving scalability and reducing operational costs by 25%.

Technologies Utilized: Maven, Jenkins, Docker, GitHub, Ansible, Git, Kubernetes, Grafana, Prometheus

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