Ayogu Perpetua

About Ayogu Perpetua

DevOps Engineer with 5+ years architecting production-grade Kubernetes infrastructure, cloud automation, and CI/CD pipelines on AWS, Azure, and GCP. Expertise:• Kubernetes orchestration with auto-scaling (HPA), rolling updates, and 99.9% uptime• Infrastructure as Code using Terraform, CloudFormation, and Argo CD (GitOps)• CI/CD automation with Jenkins, GitHub Actions, and GitLab CI• Cloud security hardening with non-root containers, IAM policies, and Trivy scanning• Observability with Prometheus, Grafana, Loki, and OpenTelemetry Impact:• Reduced release times 50% through Kubernetes automation and GitOps• Achieved 30% cost savings through resource optimization and auto-scaling• Maintained 99.5% service uptime with proactive monitoring and self-healing infrastructure AWS Certified Cloud PractitionerOpen to remote opportunities.

Experience

1. Devops Engineer

   Monodome

   Feb 2022 — Present

   Architected and automated scalable cloud infrastructure supporting 10+ microservices with 99.5% uptime, enabling 60% faster ML model deployments, 50% faster releases, and 30% infrastructure cost savings.Designed and operated production-grade Kubernetes clusters on AWS EKS with horizontal pod autoscaling (2–4 replicas) driven by CPU and memory thresholds. Implemented zero-downtime rolling deployments using readiness and liveness probes, achieving a 99.9% uptime SLA. Deployed NGINX Ingress with automated TLS via cert-manager and enforced strong security controls including non-root containers, dropped Linux capabilities, Pod Security Standards, IAM roles, and encrypted networking.Built end-to-end CI/CD pipelines using Jenkins and GitHub Actions to automate build, test, and deployment workflows. Integrated Trivy vulnerability scanning, reducing container security issues by 90%. Implemented GitOps with Argo CD, improving deployment traceability, rollback speed, and operational reliability. Reduced release cycles by 50% through automated rolling and blue-green deployment strategies.Developed reusable Terraform modules for AWS and DigitalOcean, standardizing infrastructure provisioning across teams. Managed state and policies with Terraform Cloud. Automated infrastructure-to-application deployments, including production workloads on Kubernetes. Version-controlled Kubernetes manifests using Kustomize for environment-specific configuration.Implemented full-stack observability with Prometheus, Grafana, Loki, and OpenTelemetry, enabling proactive monitoring and incident response. Built custom dashboards for ML workloads to support optimization and capacity planning. Enabled teams through Rancher-based cluster management, cutting onboarding time to under five minutes, and authored DevOps best-practice documentation while collaborating with ML engineers to optimize training pipelines on EKS.

Education

• University of Nigeria, Nsukka

  Bachelor of Science - BS