RAMANA N — DevOps Engineer

🚀 DevOps Engineer | Cloud | CI/CD | Kubernetes | GitOps | Terraform | Observability Hi, I’m Ramana, a DevOps Engineer with 4+ years of hands-on experience building, automating, and scaling infrastructure across AWS, Azure, GCP, and on-prem (bare-metal) environments. I specialize in CI/CD automation, Kubernetes orchestration, GitOps, and observability, enabling reliable and scalable systems for modern applications. 🛠️ Core Skills ☁️ Infrastructure & Cloud Designed and managed scalable multi-cloud environments using Terraform, Ansible, and Chef. Configured HAProxy and Nginx for load balancing and reverse proxying. Automated DNS and zone management with PowerDNS. Worked with MinIO, NFS, Ceph, and Rook-Ceph for object storage and distributed storage needs. ⚙️ CI/CD & Automation Built end-to-end pipelines using Jenkins, GitHub Actions, GitLab CI/CD, and Azure DevOps. Implemented reproducible builds using Bazel. Managed multi-environment GitOps workflows with ArgoCD (App of Apps). ☸️ Kubernetes & GitOps Provisioned and administered clusters using Rancher (RKE1/RKE2). Automated deployments with Helm and ArgoCD, enforced governance with Kyverno. Deployed Apache Kafka using Strimzi Operator and created vClusters for isolated testing. 📊 Observability & Monitoring Set up monitoring with Kube-Prometheus Stack, Thanos, Grafana, and Alertmanager. Implemented tracing with Jaeger and centralized logging using EFK (Elasticsearch, Fluent Bit, Kibana). 💾 Databases & Backup Managed YugabyteDB clusters using Yugaware. Implemented backup and DR strategies using Kasten K10. Experience with MariaDB, KeyDB, and Cassandra in production environments. 🐧 Automation & Scripting Automated system operations using Python and Bash. Performed Linux system hardening, optimization, and performance tuning. 💼 What I Bring Strong experience in hybrid cloud + on-prem Kubernetes environments. Skilled in GitOps, policy enforcement (Kyverno), and infrastructure automation. Knowledge of load balancing, DNS automation, and distributed storage systems. Passionate about building scalable, secure, and reliable delivery pipelines.

Stackforce AI infers this person is a DevOps Engineer specializing in Fintech and Cloud Infrastructure.

Location: Kakinada, Andhra Pradesh, India

Experience: 4 yrs 4 mos

Skills

Kubernetes
Gitops
Ci/cd Automation
Infrastructure As Code

Career Highlights

Expert in building scalable CI/CD pipelines.
Proficient in multi-cloud infrastructure management.
Strong experience in Kubernetes and GitOps practices.

Work Experience

Snapper Future Tech

DevOps Engineer (10 mos)

Wells Fargo

DevOps Engineer (3 yrs 6 mos)

Education

Bachelor of Technology - BTech at Jawaharlal Nehru Technological University, Kakinada

RAMANA N

DevOps Engineer

Kakinada, Andhra Pradesh, India4 yrs 4 mos experience

Highly Stable

Key Highlights

Expert in building scalable CI/CD pipelines.
Proficient in multi-cloud infrastructure management.
Strong experience in Kubernetes and GitOps practices.

Stackforce AI infers this person is a DevOps Engineer specializing in Fintech and Cloud Infrastructure.

Contact

Skills

Core Skills

KubernetesGitopsCi/cd AutomationInfrastructure As Code

Other Skills

API GatewaysAWS CloudFormationAWS CloudWatchAWS CodeBuildAmazon CloudWatchAmazon Elastic Container Registry (ECR)Amazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)AnsibleApache KafkaArgoCDArgocdAzure DevOps ServicesBackstage

About

Experience

Snapper future tech

DevOps Engineer

May 2025 – Present · 10 mos · Hyderabad, Telangana, India · On-site

DevOps Engineer – NPCI (Client Project).
Environment: Bare Metal | RKE1/RKE2 | Kubernetes | Helm | ArgoCD | GitLab CI | Docker.
Implemented a complete DevOps and Kubernetes platform for NPCI using GitOps and Helm on on-prem/bare-metal clusters. Focused on automation, observability, and policy-driven security for mission-critical payment systems.
Deployed multi-cluster Kubernetes via Helm and ArgoCD (App of Apps) with GitLab CI/CD integration.
Set up Observability Stack using Prometheus, Grafana, Thanos, Alertmanager, and Jaeger.
Configured Thanos for long-term metrics storage, cross-cluster query, and high availability of monitoring data.
Created dashboards and alerts for metrics-driven decision-making and proactive monitoring.
Built centralized logging with EFK (Elasticsearch, Fluent Bit, Kibana) for log aggregation, search, and visualization.
Enforced policy-based compliance using Kyverno for resource governance and security standards.
Managed Apache Kafka using Strimzi Operator for event-driven microservices and messaging pipelines.
Deployed YugabyteDB (with Yugaware) for distributed SQL and implemented backup & disaster recovery using Kasten K10 and Velero.
Worked with MariaDB, KeyDB, and Cassandra for scalable data workloads.
Automated server operations, container deployments, and cluster tasks using Python and Bash scripts.
Containerized applications using Docker and managed image lifecycle for production deployments.
Configured HAProxy, Nginx, and PowerDNS for load balancing and DNS automation.
Managed object storage with MinIO, NFS, and Rook-Ceph.
Delivered a secure, monitored, and highly available hybrid Kubernetes platform for production workloads..

KubernetesHelmArgoCDGitLab CIDockerPrometheus+19

Wells fargo

DevOps Engineer

Nov 2021 – May 2025 · 3 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

Part of the core DevOps team driving the migration and implementation of modern DevOps practices.
Developed and maintained CI/CD pipelines using GitHub Actions, Jenkins, AWS CodeBuild, ECR, and EKS to ensure automated, reliable, and fast software delivery.
Wrote Terraform scripts to provision isolated Dev environments, enabling teams to test features independently and safely.
Managed AWS infrastructure components such as EC2, S3, VPCs, and IAM roles/policies to support scalable and secure cloud-based applications.
Championed Infrastructure as Code (IaC) using Terraform and Ansible, enabling consistent, repeatable, and version-controlled infrastructure deployments.
Monitored and optimized application performance using AWS CloudWatch and Grafana, ensuring high availability and reliability.
Designed and implemented robust CI/CD workflows that accelerated release cycles and improved deployment consistency across multiple environments.
Automated routine operational tasks using Python scripts, boosting team productivity and reducing manual intervention.
Provisioned and configured Kubernetes infrastructure using Terraform, aligning with IaC principles for infrastructure scalability and maintainability.
Created and maintained Kubernetes clusters for Dockerized applications, implementing rolling updates and autoscaling to handle production workloads effectively.