Resume

I am a DevOps Engineer with expertise in Kubernetes orchestration, CI/CD pipelines, cloud automation and security hardening. My passion lies in building scalable, secure and high-performing infrastructures using modern DevOps tools and best practices.

Certified in CKA (Certified Kubernetes Administrator) and CKS (Certified Kubernetes Security Specialist), I specialize in containerization, infrastructure as code, observability and cloud-native security.

DevOps Engineer with hands-on experience at Alpha Business Solutions Pvt Ltd, Tirunelveli, specializing in optimizing cloud and on-premises environments, streamlining deployment processes and automating workflows. Proficient in Kubernetes administration, CI/CD pipeline development and infrastructure as code. Adept at implementing observability solutions, enforcing security best practices and delivering scalable, resilient and high-performance systems.

Work Experience

DevOps Engineer | Alpha Business Solutions Pvt Ltd

📍 May 2024 – Present | Tirunelveli, India

  • Designed and implemented highly available Kubernetes clusters for production workloads.
  • Developed secure CI/CD pipelines using BitBucket, ArgoCD and GitHub Actions for automated deployments.
  • Strengthened container security with Falco, Kyverno and Trivy, ensuring compliance and security best practices.
  • Implemented monitoring and logging solutions using Prometheus, Grafana, Loki and Jaeger for system observability.
  • Automated infrastructure provisioning using Terraform and Ansible, optimizing deployment speed and reducing manual intervention.
  • Worked extensively with Helm and Kustomize for Kubernetes application management.

Kubernetes Intern | Alpha Business Solutions Pvt Ltd

📍 Jan 2024 – April 2024 | Tirunelveli, India

  • Assisted in Kubernetes cluster setup and configuration, ensuring optimal performance and security.
  • Developed automation scripts for containerized applications and cloud resource management.
  • Gained hands-on experience in GitOps workflows with ArgoCD.

Education

  • Bachelor of Engineering (B.E.), Electronics and Communication Engineering (ECE),
    Velallar College of Engineering and Technology (2020 – 2024) – 84%
  • Higher Secondary Education (12th)
    Jaycees Matriculation Higher Secondary School (2020) – 80%
  • Secondary Education (10th)
    Jaycees Matriculation Higher Secondary School (2018) – 94%

Certifications

Technical Skills

DevOps & Cloud

  • Kubernetes & Docker – Deployment, Scaling, Security, Networking
  • Cloud Platforms – AWS, Azure, RKE2, Minikube, On-Prem Kubernetes
  • Infrastructure as Code (IaC) – Terraform, Ansible

CI/CD & GitOps

  • CI/CD Pipelines – ArgoCD, Bitbucket, GitHub Actions
  • GitOps – ArgoCD, Kustomize, Helm

Security & Compliance

  • Container Security – Falco, Trivy, Kyverno
  • Network & Policy Enforcement – Istio, AppArmor, Seccomp, Network Policies

Monitoring & Observability

  • Logging & Tracing – Prometheus, Grafana, Loki, Jaeger

Databases & Storage

  • Databases – MongoDB
  • Storage Management – Rook & Ceph

Scripting & Automation

  • Linux & Shell Scripting – System Administration, Automation

Project: Althena AI

Description:

Althena AI is an AI-powered therapy platform designed to provide personalized mental health support through conversational agents and assessments. I worked in the design and deployment of its backend infrastructure using Kubernetes, Docker and microservices, ensuring scalability and fault tolerance. The system emphasizes data security and privacy, with encryption at rest and in transit, role-based access control and strict compliance practices. I also implemented CI/CD pipelines, observability and autoscaling strategies to maintain high availability and performance during peak usage.

Project: YappRoom

Description:

YappRoom is an Emotional AI Role-Playing platform that enables users to connect, talk and play with AI companions in a gamified environment. It combines intelligent chat interactions with immersive emotional experiences to promote engagement and personal growth. I contributed to designing and deploying the platform’s scalable infrastructure using Kubernetes, Docker and CI/CD automation. The setup ensured high availability, security and smooth performance during real-time AI interactions. I also implemented monitoring and alerting mechanisms to maintain reliability and optimize system performance.

Key Contributions:

  • Kubernetes Orchestration: Deployed a Highly Available (HA) RKE2 Kubernetes cluster for backend services, ensuring scalability and resilience.
  • CI/CD Automation: Implemented Bitbucket Pipelines and ArgoCD for automated deployment workflows using GitOps.
  • Secure and Scalable Traffic Management: Configured NGINX Ingress Controller for API exposure with TLS encryption and rate limiting.
  • Monitoring & Logging: Integrated Prometheus, Grafana and Alertmanager for real-time monitoring and proactive alerting. Centralized logs with Loki and archived them on AWS S3.
  • Security Hardening: Secured containerized workloads using Trivy for vulnerability scanning and Infisical for secret management.
  • Disaster Recovery & Backup: Configured Velero for automated backups with AWS S3 storage for cluster restoration.
  • Performance Optimization: Conducted load testing with Locust, optimizing backend performance under high traffic.

Technologies Used:

  • Kubernetes (RKE2), Docker, Bitbucket Pipelines, ArgoCD, Helm, Kustomize.
  • Prometheus, Grafana, Loki, Alertmanager, Trivy, Infisical.
  • NGINX Ingress, Redis, MongoDB Atlas, Longhorn, Velero, AWS S3.
  • Linkerd (Service Mesh), Litmus (Chaos Testing), Locust (Load Testing).

This project demonstrates my expertise in Kubernetes, DevOps automation, security hardening, cloud observability and high-availability architectures in real-world production environments.