Arpan Chatterjee
@arpanchatterjee2
I build enterprise Kubernetes platforms and GitOps automation that modernize cloud infrastructure at scale.
IndiaWhat I'm looking for
At Renault Nissan Technology and Business Centre India, I architect and manage a Kubernetes platform spanning 35 GKE clusters, 200+ projects, and 10,000+ applications while maintaining 99.9% uptime.
I build GitOps delivery systems with Kargo, ArgoCD, Flux, and Argo Rollouts, reducing deployment cycles from roughly three days to under four hours. I also implemented OpenTelemetry across 10,000+ workloads, reducing incident detection time by about 40%.
Previously at Accenture, I migrated 30+ services to cloud-native Kubernetes, developed reusable Terraform modules across GCP, Azure, and on-premises environments, and built self-service infrastructure APIs with Crossplane. My work reduced provisioning time, operations tickets, and cloud spend while strengthening security and observability.
I'm an active CNCF and Kubernetes open-source contributor and maintain repo-lister, a Go CLI for managing container images across registries. I also write about Kubernetes, GitOps, and CI/CD engineering.
Experience
Work history, roles, and key accomplishments
Senior Platform Engineer
Renault Nissan Technology and Business Centre India
Jan 2025 - Present (1 year 8 months)
Architected and managed a hyper-scale Kubernetes platform with 35 GKE clusters, 200+ projects, and 10,000+ applications, achieving 99.9% uptime. Automated CI/CD with GitOps, implemented OpenTelemetry, and led FinOps and security initiatives.
Migrated 30+ services from on-premises to cloud using Helm, ArgoCD, and Kubernetes, accelerating deployment speed by 75%. Developed Terraform modules, Crossplane APIs, and KEDA-based autoscaling, and implemented Datadog observability and OPA policies.
Managed three Kubernetes clusters for the data platform team, ensuring 99.95% availability. Collaborated on cloud infrastructure for data pipelines processing over 500GB daily and improved incident response.
Led a 5-person team designing monitoring and alerting architectures using Datadog across 20+ servers, reducing undetected incidents by ~45%. Authored Ansible playbooks for automated patching across 200+ servers.
Engineered monitoring strategies and developed 50+ custom alerts for McDonald's Cloud Application, cutting MTTD by ~30%. Implemented synthetic monitoring across 15+ user journeys and worked with Docker, New Relic, and Grafana.
Education
Degrees, certifications, and relevant coursework
Meghnad Saha Institute of Technology
B.Tech / B.E., Computer Science and Engineering
Grade: 7.8/10
Completed B.Tech/B.E. in Computer Science and Engineering with a grade of 7.8/10.
Availability
Location
IndiaAuthorized to work in
Website
btwseeu78.medium.comPortfolio
btwseeu78.github.io/arpan-profileSalary expectations
Skills
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