
Senior DevOps / Platform Engineer with 7+ years of experience designing, automating, and operating cloud-native infrastructure across AWS, Azure, and GCP environments. Expertise in Kubernetes (EKS), CI/CD automation, Infrastructure as Code, GitOps, database migrations, observability, and production platform operations.
Proven experience managing large-scale Kubernetes environments, leading MongoDB and PostgreSQL production migrations, implementing disaster recovery strategies, and driving platform reliability initiatives. Skilled in Terraform, ArgoCD, Jenkins, Prometheus, Grafana, and AI-assisted DevOps workflows using Claude and ChatGPT to improve operational efficiency and automation.
• Managing end-to-end Platform Operations Toolkit (POT) infrastructure and deployment automation for Kubernetes-based production environments supporting 50+ applications and services.
• Administering and optimizing Amazon EKS clusters, including Kubernetes version upgrades (1.32 → 1.33 → 1.34), ingress controller management, autoscaling, and platform reliability initiatives, maintaining 99.95% platform availability.
• Leading production MongoDB and PostgreSQL migrations, replication management, backup strategies, and disaster recovery planning, ensuring near-zero downtime and 100% data integrity during migrations.
• Driving Infrastructure as Code (IaC) initiatives using Terraform and automating deployment workflows through Jenkins, GitLab CI/CD, Helm, and ArgoCD, reducing manual operational effort by 60%.
• Leveraging AI-powered tools such as Claude, ChatGPT, and GitHub Copilot to accelerate troubleshooting, automation, scripting, and documentation efforts, improving operational productivity by 30%.
• Led production incident management, RCA creation, and platform reliability improvements, reducing recurring issues by 25%.
Certified Kubernetes Administrator (CKA) Validation Number: LF-r92w2dwf5d
Microservices architecture
Cloud computing expertise
Containerization technologies
Scripting languages
Security best practices
Monitoring and logging
Infrastructure automation
Database administration
Certified Kubernetes Administrator (CKA) Validation Number: LF-r92w2dwf5d
AWS Certified SysOps Administrator Certification Validation Number:QWXEGNWDSBBQ1H3B
AWS Solution Architect Certification Validation Number:XT7CQMELE2VEQK96
Cisco Certified Network Associate Routing & Switching certification (Cisco Id- CSCO13056308)
Cloud Platforms: AWS, Azure, GCP
Kubernetes & Containerization: Kubernetes (EKS), Docker, Helm, ArgoCD
CI/CD & GitOps: Jenkins, GitLab CI/CD, GitHub Actions, ArgoCD, GitOps
Infrastructure as Code: Terraform, Ansible, CloudFormation
Monitoring & Observability: Prometheus, Grafana, Datadog, ELK Stack, CloudWatch, PagerDuty
Databases & Caching: PostgreSQL, MongoDB, MySQL, Redis, ChromaDB
Security & Secrets Management: HashiCorp Vault, AWS Secrets Manager, AWS IAM, Security Scanning, RBAC
Scripting & Automation: Bash, Python, Shell Scripting
AI-Assisted DevOps: Claude AI, ChatGPT, GitHub Copilot, AI-assisted Automation & Troubleshooting
Web & Networking: NGINX, Load Balancers, DNS, TCP/IP, HTTP/HTTPS, VPN
Operating Systems: Linux (Ubuntu, CentOS, Amazon Linux), Windows Server
Version Control: GitHub, GitLab, Bitbucket
Backup & Disaster Recovery: Velero, Backup Automation, Disaster Recovery Planning
Platform Engineering & Operations: Incident Management, Root Cause Analysis (RCA), Production Support, Capacity Planning, Cost Optimization, High Availability Architecture
Project Title: Multi-Cloud Migration of Mission-Critical Application
Project Description:
Spearheaded the end-to-end migration of a critical enterprise application from on-premises infrastructure to a robust multi-cloud environment spanning AWS, Azure, and GCP. This initiative improved system redundancy by 40%, enabled seamless scalability during peak loads, and enhanced disaster recovery capabilities, resulting in 99.99% uptime and a 30% reduction in infrastructure costs.
Project Title: Monolithic to Microservices Containerization Transformation
Project Description:
Led the architectural overhaul of a legacy monolithic application into a containerized microservices ecosystem using Docker and Kubernetes. The migration improved deployment agility by 50%, reduced release cycle times from weeks to days, and enhanced fault isolation, significantly increasing system resilience and maintainability.