I’m a Cloud & DevOps Engineer focused on building secure, scalable, and automated infrastructure on AWS.
I use Infrastructure as Code, CI/CD automation, and cloud-native architectures to design systems that improve reliability, reduce manual effort, and support real operational needs.
- Build automated cloud infrastructure with Terraform
- Create CI/CD pipelines that accelerate delivery and reduce deployment risk
- Design resilient AWS systems with security, observability, and scalability in mind
- Turn real-world business and operational problems into production-ready technical solutions
| Cloud | IaC | CI/CD | Containers | Programming |
|---|---|---|---|---|
| AWS | Terraform | Jenkins, GitHub Actions | Docker, Kubernetes (EKS), ECS | Python, JavaScript |
These projects represent my strongest work in automation, reliability, cloud infrastructure, and operational engineering.
A cloud-native healthcare interoperability platform designed to provide a centralized source of truth for patient encounter identity across fragmented healthcare systems.
Tech Stack: React, Node.js, Jenkins (EC2), Docker, Amazon ECR, Amazon ECS, Terraform, ALB
What it does:
- Generates and resolves canonical Patient Encounter IDs
- Provides a centralized source of truth across healthcare workflows
- Supports encounter lifecycle tracking and audit visibility
- Demonstrates production-style AWS infrastructure and deployment automation
Architecture: GitHub → Jenkins (EC2) → Docker → ECR → ECS → ALB
Why it matters: Inspired by real healthcare operational challenges, this project demonstrates how cloud-native architecture, Infrastructure as Code, containerization, and CI/CD automation can be used to improve interoperability, reliability, and operational visibility across patient encounter workflows.
A cloud-native incident response platform designed to standardize alert ingestion, severity classification, and responder workflows in a Kubernetes-based environment.
Tech Stack: Amazon EKS, Terraform, Docker, GitHub Actions, CloudWatch, Prometheus
What it does:
- Ingests and processes incident alerts
- Classifies severity levels
- Supports structured responder workflows
Architecture:
GitHub → CI/CD → Docker → EKS → Monitoring Stack
Why it matters:
Demonstrates platform engineering, Kubernetes orchestration, observability, and CI/CD automation for operationally critical systems.
An automated backup and recovery workflow built to improve data protection, reduce human error, and strengthen recovery readiness for AWS workloads.
Tech Stack: AWS Lambda, EC2, SNS, Python, Terraform
What it does:
- Automates backup scheduling and execution
- Sends alerts for failures or anomalies
- Supports recovery readiness for critical workloads
Architecture:
EventBridge → Lambda → EC2 Snapshots / S3 → SNS Alerts
Why it matters:
Demonstrates resilience engineering, backup automation, and operational risk reduction in cloud environments.
- Serverless E-Commerce Platform — AWS-backed e-commerce infrastructure with API Gateway, Lambda, DynamoDB, SES, and JWT authentication.
- Serverless DevOps Pipeline — Serverless deployment workflow using GitHub Actions and Terraform.
- Portfolio Website — Personal site for showcasing projects, experience, and technical direction.
- 📫 Email: sesay.malcolm.dev@gmail.com
“Don’t just automate deployments—automate reliability, resilience, and value.”
I’m open to Cloud Engineer, DevOps Engineer, and Infrastructure-focused roles where I can help build secure, scalable, and automated systems.