operateEKS
Cloud-Native Reliability
Production Kubernetes, Karpenter, Helm, cluster security, rollout safety, and performance tuning for high-availability workloads.
Vibhav A MBangalore, Karnataka
Site Reliability / DevOps Engineer
Kubernetes, AWS, and AI-Ops systems for reliable platforms.
I build cloud-native infrastructure, GitOps delivery, observability systems, and agentic automation that reduce production risk, accelerate RCA, and make engineering workflows easier to operate.
Targeting SRE / Platform EngineeringBangalore & HyderabadKubernetes + AWSAI-driven automation
60%less deployment effort with GitOps
80%reduction in incident recurrence
30%infrastructure cost reduction
75%fewer memory-pressure pod restarts
Platform Focus
Infrastructure work shaped around measurable reliability.
automateMCP
AI-Ops Automation
Agentic workflows that connect infrastructure tools, CI systems, and developer operations with traceable LLM observability.
observeSLO
Observability & RCA
New Relic, Dynatrace, Prometheus, Grafana, Langfuse, incident review loops, and production dashboards built for fast diagnosis.
Work Experience
Halodoc, Bangalore
Feb 2023 - Present / Intern to Site Reliability Engineer I to Site Reliability Engineer II
- Managed GitOps-driven production EKS clusters through ArgoCD and operationalized canary rollouts from 20% to 100% with automated health gates.
- Executed zero-downtime blue-green Amazon MSK migration from ZooKeeper to KRaft with 100% data consistency across mission-critical Kafka streams.
- Built Agentic AI orchestration using Model Context Protocol to connect Jenkins, Kubernetes, and GitLab for assisted debugging and reduced tool switching.
- Implemented Langfuse for production-grade AI observability, tracing LLM latency, cost, and prompt performance across agentic workflows.
- Extended Checkov with server-side hooks, enforced 10+ custom policies, migrated EC2 fleets to AL2023, and reduced deployment-time risk by 40%.
- Led deep-dive postmortems and RCA work for production outages, improving SLO/SLI monitoring and reducing recurrence by 80%.
Selected Work
Production initiatives with clear operational outcomes.
Amazon MSK ZooKeeper to KRaft Migration
Led a zero-downtime migration strategy with phased traffic validation, rollback safety, and full data consistency across critical messaging streams.
EKS Graviton3 to Graviton4 Migration
Directed workload compatibility checks, performance validation, and cluster right-sizing to improve efficiency and reduce infrastructure spend by 30%.
Agentic AI Platform for DevOps
Built a hackathon-winning orchestration layer that helps debug CI/CD and infrastructure workflows through connected platform tools.
Technical Skills
Cloud, delivery, observability, and AI-Ops toolbox.
Cloud & Kubernetes
AWS EKSEC2S3CloudFrontRoute53MSKRDSLambdaKubernetesDockerHelmTerraformKarpenter
CI/CD & Automation
JenkinsGitLabGroovyPythonShellGitOpsArgoCDn8nFastlane Match
Observability & Reliability
DynatraceNew RelicPrometheusGrafanaLangfuseIncident ManagementRCASLO/SLI
AI-Ops & Platform Engineering
Agentic AIModel Context ProtocolPrompt EngineeringLLM CI/CD ReviewAI Observability
Technical Writing
Three published Halodoc engineering notes from production work.
Migrating AWS MSK from ZooKeeper to KRaft: A Canary Approach
A production migration case study covering blue-green architecture, canary rollout phases, rollback strategy, and observability validation.
Read articleReducing Amazon EKS Compute Costs by 35%: Migrating Production Workloads from Graviton3 to Graviton4
A technical guide to zero-downtime EKS migration, compatibility validation, performance improvements, and cloud cost optimization.
Read articleA Step-by-Step Guide to Automated iOS Certificate Renewal
A CI/CD automation writeup for mobile certificate management that removes manual bottlenecks and reduces expired credential risk.
Read articleEducation & Recognition
Certified Kubernetes practitioner with AI-Ops recognition.
- Certified Kubernetes Administrator, The Linux Foundation, Apr 2026
- Winner, Halodoc AI Hackathon, Sep 2025
- B.E. Information Science and Engineering, National Institute of Engineering, Mysuru
Open to SRE / Platform Engineering roles
Let us build reliable platforms with automation at the center.
Bangalore, Hyderabad, or cloud-native teams building serious production systems.