Kapil Gohel

• Lead cloud platform engineering initiatives across AWS and GCP, supporting large-scale Kubernetes workloads and
multi-environment application deployments.
• Design, deploy, and manage production Kubernetes (GKE/EKS) platforms, implementing cluster lifecycle
management, autoscaling, RBAC, Workload Identity/IAM, and security best practices.
• Build and maintain Infrastructure as Code using Terraform and Crossplane to provision cloud infrastructure and
Kubernetes resources in a scalable and repeatable manner.
• Design and implement GitOps deployment strategies using ArgoCD, ApplicationSets, Helm, and Kustomize to
standardize Kubernetes application deployments.
• Develop and maintain enterprise CI/CD pipelines using GitLab CI, integrating automated builds, testing, security
scanning, artifact management, and Kubernetes deployments.
• Implement cloud security best practices by enforcing least-privilege IAM, service account governance, secrets
management using HashiCorp Vault, and secure workload authentication.
• Optimize Kubernetes clusters through resource requests and limits, Horizontal Pod Autoscaler (HPA), node
autoscaling, and workload scheduling to improve application performance and cloud cost efficiency.
• Design reusable Kubernetes deployment frameworks using Helm charts and Kustomize overlays, enabling consistent
deployments across Development, Staging, and Production environments.
• Troubleshoot complex production issues across Kubernetes, ArgoCD, networking, Redis, Prometheus, IAM, and cloud
infrastructure, ensuring high platform availability and reliability.
• Implement platform observability using Prometheus, Grafana, Dynatrace, Datadog, and Splunk, enabling proactive
monitoring, alerting, and capacity planning.
• Collaborate with development, security, and architecture teams to establish platform standards, improve developer
self-service capabilities, and accelerate software delivery.
• Drive platform modernization initiatives by improving deployment automation, governance, infrastructure security,
and Kubernetes operational excellence.

• Managed enterprise cloud infrastructure on AWS, supporting production workloads running on Amazon EKS, EC2,
and containerized applications.
• Built and maintained enterprise CI/CD platforms using Jenkins, GitLab, and CloudBees, automating application
deployments to Kubernetes environments.
• Administered and optimized Kubernetes/OpenShift clusters, implementing Helm-based deployments, RBAC, ingress
management, autoscaling, and cluster monitoring.
• Provisioned and managed AWS infrastructure using Terraform, enabling Infrastructure as Code and repeatable
environment provisioning.
• Designed and implemented containerized application deployment pipelines using Docker, Kubernetes, Helm, and
GitOps practices.
• Managed enterprise DevOps platforms including GitLab, Jenkins, JFrog Artifactory, SonarQube, and monitoring
solutions while ensuring platform availability and operational excellence.
• Automated operational workflows using Python, Bash, Groovy, PowerShell, and Ansible, significantly reducing
manual effort and improving deployment consistency.
• Strengthened cloud security by implementing IAM best practices, CyberArk integration, MFA, credential
management, and least-privilege access controls.
• Implemented comprehensive monitoring and observability using CloudWatch, Prometheus, Grafana, Dynatrace,
Datadog, and Splunk to improve incident detection and platform health.
• Led production incident management, root cause analysis (RCA), disaster recovery planning, backup validation, and
platform capacity planning for business-critical services.
• Mentored engineers on Kubernetes, CI/CD, Infrastructure as Code, cloud architecture, and DevOps best practices
while driving platform standardization across teams.

• Installed, configured, and maintained middleware applications including Tomcat, JBoss, Apache, Weblogic, and
Talend, ensuring seamless functionality and optimal performance across all environments.
• Diagnosed and resolved complex L2 and L3 issues, along with escalated issues, significantly improving operational
efficiency and reducing application downtime.
• Successfully managed the deployment of change releases across UAT, Pre-production, Production, and Disaster
Recovery (DR) environments, ensuring smooth transitions and minimal disruption.
• Designed and implemented Shell and PowerShell scripts to automate routine tasks for middleware applications,
reducing manual efforts by 40% and mitigating human errors.
• Configured application alerts and established comprehensive monitoring mechanisms using SolarWinds, proactively
identifying and addressing potential issues before they impacted operations.

• Configured and maintained Apache, Tomcat, and JBoss applications on Linux servers, ensuring optimal performance
and stability through performance tuning and security hardening.
• Installed and resolved complex issues related to Apache and JBoss, improving application reliability and reducing
downtime by 20% using advanced diagnostic tools and log analysis.
• Led the deployment and maintenance of JBoss and Tomcat applications, implementing automated pipelines and
rollback strategies to ensure successful rollouts with minimal risks.
• Automated routine maintenance tasks using Linux scripting, reducing manual effort by 30% and enhancing
operational efficiency with custom scripts for resource monitoring and backups.
• Monitored ticket queues and participated in troubleshooting application issues, achieving a 95% SLA compliance rate
by collaborating with cross-functional teams and prioritizing escalations.
• Supervised and mentored the application support team, improving performance through training sessions,
knowledge-sharing workshops, and implementing performance metrics.