Collins Ekome Ebah
Minneapolis, United States
Collins Ekome Ebah
AWS Cloud and DevOps Engineer
Category : Computer assistance
I am an AWS Cloud and DevOps Engineer with over four years of experience designing, automating, and optimizing cloud infrastructure on AWS. Throughout my career, I focused on building scalable, secure, and highly available systems while driving efficiency through automation and modern DevOps practices.
I led the adoption of GitOps-based continuous delivery using ArgoCD, which reduced Kubernetes deployment errors by approximately 65% and accelerated release cycles by around 50%. I also deployed highly available AWS EKS clusters with ALB ingress, improving application scalability and traffic handling capacity by nearly 75%.
I engineered end-to-end CI/CD pipelines using Jenkins and GitHub Actions, improving deployment efficiency by about 60% while increasing code quality and security compliance by 40%. Additionally, I automated infrastructure provisioning with Terraform, reducing manual deployment time by roughly 70% and ensuring consistent, repeatable environments.
One of my key achievements included building a fully serverless AWS solution that reduced operational costs by approximately 70% while delivering high performance and reliability. I also enhanced observability by integrating Prometheus and Grafana, cutting incident detection time by around 55% through real-time monitoring and alerting.
I consistently worked with technologies like AWS, Kubernetes, Docker, Terraform, and CI/CD tools to deliver resilient and secure cloud-native solutions. I was passionate about DevSecOps, automation, and continuous improvement, always aiming to create systems that scale efficiently and perform reliably.
I am currently open to new opportunities where I can bring my expertise in cloud engineering and DevOps to solve complex problems, drive innovation, and deliver measurable impact.
I led the adoption of GitOps-based continuous delivery using ArgoCD, which reduced Kubernetes deployment errors by approximately 65% and accelerated release cycles by around 50%. I also deployed highly available AWS EKS clusters with ALB ingress, improving application scalability and traffic handling capacity by nearly 75%.
I engineered end-to-end CI/CD pipelines using Jenkins and GitHub Actions, improving deployment efficiency by about 60% while increasing code quality and security compliance by 40%. Additionally, I automated infrastructure provisioning with Terraform, reducing manual deployment time by roughly 70% and ensuring consistent, repeatable environments.
One of my key achievements included building a fully serverless AWS solution that reduced operational costs by approximately 70% while delivering high performance and reliability. I also enhanced observability by integrating Prometheus and Grafana, cutting incident detection time by around 55% through real-time monitoring and alerting.
I consistently worked with technologies like AWS, Kubernetes, Docker, Terraform, and CI/CD tools to deliver resilient and secure cloud-native solutions. I was passionate about DevSecOps, automation, and continuous improvement, always aiming to create systems that scale efficiently and perform reliably.
I am currently open to new opportunities where I can bring my expertise in cloud engineering and DevOps to solve complex problems, drive innovation, and deliver measurable impact.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
![AWS Cloud Sevices]()
AWS Cloud Sevices50 $ - Per hourProfessional Experience Automates AWS infrastructure provisioning using Terraform for a three-tier application environment, reducing manual deployment time by 70% while ensuring consistent and ...
DevOps Engineer Jan 2023 – Present
Independent / Contract — Remote
• Designed and deployed end-to-end CI/CD pipelines using Jenkins and GitHub Actions for multi-
environment application delivery on AWS, achieving 99.9% pipeline reliability and reducing deployment
time by 60% through automated build, test, security scanning, and deployment stages with automatic
rollback on failure.
• Automated AWS infrastructure provisioning using Terraform across dev, staging, and production
environments, managing EC2, EKS, RDS, VPC, IAM, ALB, and S3 resources with reusable modules and
remote state management; reduced manual deployment time by 70% and ensured consistent, repeatable
environment setup across all deployment targets.
• Built and managed AWS EKS Kubernetes clusters with ALB Ingress Controller, Helm chart deployments,
RBAC policies, and Horizontal Pod Autoscaling; implemented ArgoCD GitOps-based continuous delivery
reducing manual Kubernetes deployment errors by 65% and accelerating release cycles by 50% across
containerized application workloads.
• Implemented comprehensive DevSecOps pipeline integrating SonarQube SAST, Trivy container scanning,
Snyk SCA, Checkov IaC scanning, and OWASP ZAP DAST as mandatory pipeline gates; improved code
quality and security compliance by 40% and eliminated vulnerable container images and misconfigured
infrastructure from reaching production environments.
• Deployed and operated Prometheus and Grafana monitoring stack for AWS and Kubernetes infrastructure,
building real-time performance dashboards and alerting rules that reduced incident detection time by 55%
and improved system observability across all production workloads; configured CloudWatch alarms and
CloudTrail audit logging for complete infrastructure visibility.
• Engineered fully serverless AWS applications using Lambda, API Gateway, DynamoDB, and CloudFront
with AWS SAM IaC, reducing operational costs by 70% through pay-per-execution pricing; implemented
IAM least-privilege, S3 private storage, encryption at rest, and input validation achieving sub-100ms global
latency and 99.9% email deliverability via Amazon SES.
• Managed containerized workloads using Docker multi-stage builds, AWS ECS/Fargate, and ECR;
implemented HashiCorp Vault for secrets management eliminating hardcoded credentials across all
pipeline workflows, configured multi-environment GitHub Actions workflows with branch protection and
automated security scannin
Independent / Contract — Remote
• Designed and deployed end-to-end CI/CD pipelines using Jenkins and GitHub Actions for multi-
environment application delivery on AWS, achieving 99.9% pipeline reliability and reducing deployment
time by 60% through automated build, test, security scanning, and deployment stages with automatic
rollback on failure.
• Automated AWS infrastructure provisioning using Terraform across dev, staging, and production
environments, managing EC2, EKS, RDS, VPC, IAM, ALB, and S3 resources with reusable modules and
remote state management; reduced manual deployment time by 70% and ensured consistent, repeatable
environment setup across all deployment targets.
• Built and managed AWS EKS Kubernetes clusters with ALB Ingress Controller, Helm chart deployments,
RBAC policies, and Horizontal Pod Autoscaling; implemented ArgoCD GitOps-based continuous delivery
reducing manual Kubernetes deployment errors by 65% and accelerating release cycles by 50% across
containerized application workloads.
• Implemented comprehensive DevSecOps pipeline integrating SonarQube SAST, Trivy container scanning,
Snyk SCA, Checkov IaC scanning, and OWASP ZAP DAST as mandatory pipeline gates; improved code
quality and security compliance by 40% and eliminated vulnerable container images and misconfigured
infrastructure from reaching production environments.
• Deployed and operated Prometheus and Grafana monitoring stack for AWS and Kubernetes infrastructure,
building real-time performance dashboards and alerting rules that reduced incident detection time by 55%
and improved system observability across all production workloads; configured CloudWatch alarms and
CloudTrail audit logging for complete infrastructure visibility.
• Engineered fully serverless AWS applications using Lambda, API Gateway, DynamoDB, and CloudFront
with AWS SAM IaC, reducing operational costs by 70% through pay-per-execution pricing; implemented
IAM least-privilege, S3 private storage, encryption at rest, and input validation achieving sub-100ms global
latency and 99.9% email deliverability via Amazon SES.
• Managed containerized workloads using Docker multi-stage builds, AWS ECS/Fargate, and ECR;
implemented HashiCorp Vault for secrets management eliminating hardcoded credentials across all
pipeline workflows, configured multi-environment GitHub Actions workflows with branch protection and
automated security scannin
- AWS Certified DevOps Engineer – Professional (DOP-C02 02/11/2025
![AWS Certified DevOps Engineer – Professional (DOP-C02]()
- AWS Certified Solutions Architect – Associate (SAA-C03) 12/05/2025
![AWS Certified Solutions Architect – Associate (SAA-C03)]()
- Cisco Certified Network Professional (CCNP 04/02/2021
![Cisco Certified Network Professional (CCNP]()
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