Chethan K

About Chethan K

I am a DevOps/SRE/Cloud Platform Engineer with 4+ years of hands-on industry experience at Cisco, designing automated, scalable, and highly reliable cloud-native platforms—backed by a strong engineering foundation and a Ph.D. in AI/ML.My strengths include building large-scale infrastructure on AWS, automating Kubernetes/EKS operations, designing CI/CD pipelines, implementing IaC with Terraform, and developing advanced observability systems using Prometheus/Grafana. I focus on eliminating toil, improving developer productivity, and enabling safe, rapid, high-quality deployments.Key Achievements 70% reduction in Kubernetes upgrade toil 90% fewer upgrade-related failures across 20+ EKS clusters 40% faster CI/CD velocity through Groovy/Jenkins pipelines 32% lower AWS EKS compute cost through optimization 90% automation of PagerDuty alert triage 30% faster MTTR with advanced observability dashboards Delivered multi-region AWS failover architecture for high availability Automated validation systems for Helm, S3, ECR & YAML schemasBefore transitioning into DevOps/SRE, I spent 8 years in academia and research, teaching engineering subjects and publishing ML-based research papers. This experience strengthened my analytical thinking, debugging depth, and architectural decision-making.Currently Interested In:DevOps EngineerSite Reliability Engineer (SRE)Cloud Platform EngineerPlatform/Infrastructure EngineeringI enjoy solving complex reliability challenges, building automation that removes human error, and designing cloud-native infrastructure that scales.

Experience

1. Software Engineer Devops Sre

   Cisco

   Oct 2021 — Present · Bengaluru, IN

   Key Achievements:* Built and maintained large-scale cloud-native platforms on AWS + EKS ensuring 99.9% uptime.* Automated Kubernetes upgrade lifecycle (1.19 → 1.27) for 20+ clusters, reducing incidents by 90% and manual effort by 70%.* Designed CI/CD pipelines with Groovy/Jenkins, boosting deployment speed by 40% and reliability by 20%.* Implemented Terraform IaC for AWS (EKS, VPC, EC2, IAM, ECR), reducing provisioning time by 25%.* Delivered an intelligent PagerDuty alert-analysis automation reducing manual review by 90%.* Created Prometheus/Grafana observability stack improving MTTR by 30% and reducing false alerts by 20%.* Developed S3, ECR, YAML, and Helm validation utilities lowering deployment errors and support tickets by 30%.* Built multi-region failover strategy using Route53, RDS replication, and cross-region EKS design.* Delivered GitOps platform for 40+ microservices using ArgoCD with full drift detection & auto-sync.Tech Stack:AWS, Kubernetes (EKS), Jenkins, Terraform, Docker, Helm, ArgoCD, Prometheus, Grafana, Alertmanager, Python, Groovy, Bash, Git, Linux

Education

• Vidyavardhaka College of Engineering

  B.E, Electronics and communication

• Visvesvaraya Technological University

  Doctor of Philosophy - PhD, AI/ML

• REVA University

  M.Tech, Signal Processing