Kevin Kilonzi

DevOps Engineer

• Job Details:Architected and deployed production-grade Kubernetes clusters on AWS EKS using Helm charts, enabling seamless scaling of 50+ microservices with zero-downtime rolling updates. Migrated 100+ legacy HRMS and payroll applications from Docker Swarm to ECS and Kubernetes, reducing deployment times by 70% and standardizing infrastructure across development teams. Designed and implemented Kafka-based real-time event streaming architecture, improving system throughput by 40% for business-critical workflows. Developed automated Kafka Connect data pipelines with schema validation via schema registry, ensuring data consistency across distributed systems. Built comprehensive CI/CD pipelines using Jenkins and ArgoCD, integrating SonarQube code quality gates, Trivy security scanning, and Cypress end-to-end testing. Automated ECS service provisioning with infrastructure-as-code, reducing manual setup time by 60% and eliminating configuration drift. Provisioned multi-account AWS infrastructure using Terraform modules for EKS clusters, IAM roles, VPCs, and Kafka clusters, ensuring consistent and repeatable deployments. Migrated logging infrastructure from CloudWatch to Grafana Loki using Promtail, achieving 45% cost reduction while centralizing log management. Implemented comprehensive observability stack with Prometheus and Grafana, creating custom dashboards and alerting rules for application and infrastructure health monitoring. Performance-tuned MongoDB clusters, optimizing query response times and scaling strategies for high-availability production workload.

DevOps Engineer

• Job Details:Designed and maintained production Kubernetes infrastructure supporting development, QA, and production environments for enterprise-scale applications. Implemented robust CI/CD pipelines with Jenkins and Kubernetes operators, enabling continuous deployment with automated rollback capabilities. Provisioned AWS and GCP resources using Terraform with modular IaC patterns, standardizing cloud deployments across multiple projects. Achieved 35% cloud cost reduction through strategic implementation of autoscaling policies, resource rightsizing, and intelligent scheduling for non-production environments. Established comprehensive monitoring stack (Prometheus, Grafana, Alertmanager) with custom metrics and automated alerting for proactive issue detection. Led incident response procedures including root cause analysis and team postmortems, improving system reliability and team knowledge sharing. Implemented secure Git workflows and Ansible-based configuration management, ensuring code governance and infrastructure compliance. Automated server maintenance, provisioning, and system integrations using Bash and Python scripts, reducing manual operational overhead.