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Cloud/DevOps Engineer | Solution Architect | Technical Support | Helping businesses scale with secure, automated, and efficient cloud solutions.
Leveraging cloud computing and DevOps to transform businesses, streamline operations, and drive innovation. Whether you’re looking to automate workflows, optimize cloud infrastructure, or scale your digital presence, I’m here to help you achieve your goals.
Cloud Engineer and DevOps professional with an unconventional background transitioning from Virtual Assistant work to technical operations. Leveraged strong skills in workflow optimization, automation, and process efficiency to build expertise in cloud technologies, containerization, and CI/CD pipelines. Proficient with tools including Kubernetes, Jenkins, and Terraform while maintaining a unique perspective that bridges technical implementation with business objectives.
Combines rapid learning ability with practical problem-solving to deliver scalable cloud architectures that align with organizational goals. Particularly skilled at creating user-friendly solutions that enhance operational efficiency through strategic automation and infrastructure as code.
Email: Jessieokolocha@gmail.com
SKILLS
SKILLS
Streamline deployments with GitHub Actions
Automate testing & rollbacks for high reliability
Ensure seamless continuous integration & delivery
Build scalable architectures on, GCP & Terraform
Manage Kubernetes clusters with Helm & Kustomize
Deploy cloud-native applications with best practices
Optimize workloads with Docker & Kubernetes
Implement microservices for scalability & efficiency
Improve system performance with service orchestration
Implement zero-trust networking & RBAC
Secure Kubernetes workloads & cloud environments
Ensure compliance with industry security standards
Real-time insights with Prometheus & Grafana
Detect & resolve issues before they impact users
Optimize performance with logging & monitoring tools
Set up and configured NGINX on an Ubuntu server to serve a custom HTML page. This involved installing NGINX, creating a personalized webpage, updating server configurations, and testing the deployment to ensure everything worked seamlessly.
NGINX Linux Bash HTML SSH
The project follows best practices in DevOps automation, cloud infrastructure, and continuous deployment, ensuring efficiency and reliability. It includes secure package management, automated build and deployment processes, comprehensive CI/CD pipeline, and enterprise-level AWS service integration. The solution demonstrates advanced cloud engineering techniques with end-to-end automation from code commit to production deployment.
AWS CodePipeline CI/CD Automation Java Web App DevOps AWS Services Codebuild CodeDeploy CodeArtifact
This project is a high-performance REST API built with FastAPI for managing a collection of books, featuring full CRUD functionality with data validation. It is containerized using Docker and deployed on Google Cloud Platform (GCP) with an automated CI/CD pipeline, ensuring reliability, scalability, and efficient API operations.
FastAPI Python Docker Google Cloud GitHub Actions
I secured an Elasticsearch deployment on DigitalOcean by addressing an exposed default port vulnerability. This involved updating the docker-compose.yaml file, enabling X-Pack Security, setting authentication credentials, and applying a restart policy to maintain security settings.
Cloud Security Docker Elasticsearch Linux Server Network Security
Certification & Badges
Google Cloud Professional Cloud Security Engineer
Google Cloud Professional Cloud Security Engineer
Issuing Organization: Google Cloud (GCP)
Year Obtained: 2024
This certification is highly respected in the cloud computing and cybersecurity industry, this certification validates expertise in designing, implementing, and managing secure cloud infrastructure on Google Cloud Platform (GCP). This certification demonstrates my proficiency in:
Designing and implementing secure cloud architectures
Managing identity and access management (IAM) policies
Ensuring data protection, encryption, and compliance with industry standards
Configuring network security, firewalls, and intrusion detection systems
Monitoring and responding to security threats in cloud environments
It underscores my ability to:
Assess and mitigate security risks in cloud-based applications
Implement best practices for security operations and incident response
Enforce governance, compliance, and regulatory policies (e.g., PCI-DSS, GDPR)
Secure containers, Kubernetes clusters, and hybrid cloud deployments
With this certification, I am well-equipped to design and manage secure cloud environments, ensuring the integrity, confidentiality, and availability of cloud-based systems.
Getting Started with Serverless
Getting Started with Serverless
Issuing Organization: Amazon Web Services Training and Certification
Year Obtained: 2025
This badge validates expertise in serverless architecture and AWS cloud computing fundamentals. This credential demonstrates my proficiency in:
Configuring and deploying AWS Lambda functions for serverless computing
Implementing event-driven architectures using serverless technologies
Working with Amazon Simple Queue Service (SQS) for message queuing
Utilizing Amazon Simple Notification Service (SNS) for pub/sub messaging
Designing and implementing REST APIs using API Gateway
Understanding serverless data processing and scaling strategies
It underscores my ability to:
Design cost-effective cloud solutions with minimal infrastructure management
Implement scalable applications that adjust automatically to workload demands
Develop event-driven architectures for modern application development
Connect and integrate various AWS services into cohesive solutions
Apply best practices for serverless security and performance optimization
With this badge, I am well-equipped to develop and deploy modern cloud applications that leverage AWS serverless technologies, ensuring efficient, scalable, and maintainable solutions.
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