Neeraj Patil

Kubernetes Engineer

DevOps & CloudSenior DevOps EngineerKubernetesAvailable for hire
Experience
6+ yrs
Skills
21
Projects
5
Certifications
3

Kubernetes Engineer with 6 years of experience delivering scalable container platforms for enterprise applications. Skilled in Kubernetes administration, OpenShift, Docker, Helm, GitOps, Azure AKS, AWS EKS, CI/CD, infrastructure automation, monitoring, security hardening, and production support.

Expertise & skills

Containers
KubernetesDockerOpenShiftHelm
Cloud
Azure AKSAWS EKS
CI/CD
Azure DevOpsJenkinsArgo CD
Infrastructure as Code
TerraformAnsible
Monitoring
PrometheusGrafanaLoki
Logging
ELK Stack
Scripting
BashPython
OS
Linux (UbuntuRHEL)
Version Control
GitAzure Repos

Selected projects

Hybrid Kubernetes Platform

  • Built AKS and EKS clusters for hybrid workloads.
  • Created reusable Helm charts.
  • Configured ingress, autoscaling, and storage classes.
  • Automated cluster provisioning using Terraform.

GitOps Deployment

  • Implemented Argo CD for GitOps deployments.
  • Reduced deployment errors through automated synchronization.
  • Standardized release processes across environments.

Observability Solution

  • Implemented Prometheus, Grafana and Loki dashboards.
  • Created SLA-based alerts.
  • Improved production visibility.

Platform Security

  • Configured RBAC, Network Policies and Pod Security Standards.
  • Integrated container image scanning.
  • Performed Kubernetes version upgrades.

Disaster Recovery

  • Automated etcd backups and workload recovery testing.
  • Documented DR runbooks.
  • Validated recovery objectives.

Certifications

  • Certified Kubernetes Administrator (CKA)
  • Microsoft Certified: Azure Administrator Associate
  • HashiCorp Certified: Terraform Associate

Education

  • Bachelor of Technology (Computer Science)

    Visvesvaraya Technological University

Achievements

  • Managed Kubernetes platforms supporting over 180 microservices.
  • Reduced deployment time by 60% through GitOps automation.
  • Improved cluster availability to 99.9%.
  • Optimized infrastructure costs using autoscaling and resource tuning.
  • Enhanced monitoring and reduced incident response time by 35%.

Similar engineers

Other DevOps & Cloud engineers with comparable experience.

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