Raghav Arora

About Raghav Arora

Senior DevOps Engineer with over 5 years of experience designing, automating, and operating scalable cloud infrastructure and CI/CD platforms.I currently work at Cisco (FTE via Capgemini), where I own centralized logging, monitoring, and alerting platforms and support production workloads across multiple environments. My work focuses on infrastructure automation, Kubernetes operations, cloud reliability, and reducing operational overhead.Core expertise:• AWS (EC2, VPC, IAM, S3, RDS, CloudFront)• Kubernetes & Docker (production clusters, troubleshooting, upgrades)• Infrastructure as Code (Terraform, Ansible)• CI/CD pipelines (Jenkins, GitLab CI, ArgoCD)• Observability & monitoring (Prometheus, Grafana, CloudWatch, ELK, OpenSearch)• Production support, incident handling, and RCAPreviously at Deutsche Telekom and GlobalLogic, I worked on cloud security, cost optimization, CI/CD automation, and large-scale microservices platforms.I enjoy enabling engineering teams with reliable infrastructure, faster delivery pipelines, and strong DevOps best practices.

Experience

1. Senior Devops Engineer (Fte at Capgemini)

   Cisco

   Apr 2025 — Present · Gurugram, IN

   Owned centralized logging, monitoring, and alerting platforms (Grafana, ELK, Dash-Tool) supporting production workloads, improving incident detection and reducing MTTR by 25%.• Led migration of deprecated Grafana panels to standardized dashboards, improving observability consistency across environments.• Worked on ELK stack log ingestion and analysis for application, system, and container logs.• Troubleshooting Kubernetes production issues including image tag reuse, CVE persistence, and deployment misconfigurations.• Designed proactive CloudWatch alarms for EC2, ALB, RDS, reducing alert noise while improving signal quality.• Performed advanced Linux troubleshooting related to filesystems, permissions, and system behavior.• Used Python, Bash scripting, and Terraform for IaC to automate infrastructure provisioning and operational workflows.• Implemented, provisioned, and optimized AWS cloud infrastructure (EC2, IAM, S3, VPC, Route 53, CloudFront) to improve scalability, security posture, and cost efficiency while reducing operational overhead.• Actively participated in production incident response, performing root cause analysis (RCA) and implementing long-term reliability improvements.• Actively leverage AI/LLM tools (e.g, GitHub Copilot, Gemini) in daily workflows for code review acceleration, documentation drafting, and debugging complex distributed systems.

Education

• GLA University

  BTech - Bachelor of Technology, CS

  2016 — 2020