---
title: "Chandan Tiwary - DevOps Engineer in Bengaluru | Tal"
description: "Meet Chandan Tiwary, DevOps Engineer 2 @ Truemeds | AWS | Kubernetes | Platform Engineering | SRE | Production Infrastructure | Multi-Account Cloud based in Bengaluru. AI stack includes claude code and claude."
image: "https://tal.club/meet/chandan-tiwary/share-image"
---

# Chandan Tiwary on Tal

## Headline

DevOps Engineer 2 @ Truemeds \| AWS \| Kubernetes \| Platform Engineering \| SRE \| Production Infrastructure \| Multi\-Account Cloud

## About

Platform\-focused DevOps Engineer with 4\+ years of experience designing, automating, and operating production cloud platforms across AWS and Kubernetes\. AWS Certified DevOps Engineer – Professional, with hands\-on ownership of Kubernetes \(EKS\) and ECS\-based systems, CI/CD pipelines \(CodePipeline, Jenkins, ArgoCD\), and observability stacks \(Prometheus, Grafana, Loki, ELK\) across fintech, edtech, AI/ML, and healthtech platforms\. My work spans individual\-contributor execution to leading DevOps delivery for 30\+ production platforms spanning 30\+ client AWS accounts, and mentoring engineering teams — with measurable gains in deployment speed, MTTR, infrastructure provisioning time, and cloud cost efficiency\. Core areas: • AWS: EKS, ECS \(Fargate &amp; EC2\), EC2, Lambda, RDS, Aurora \(PostgreSQL\), ElastiCache \(Redis\), OpenSearch, API Gateway, Kong API Gateway, CloudFront, Route 53, CloudFormation, CodePipeline, ECR, S3, IAM, VPC \(PrivateLink, RAM\), Secrets Manager, CloudWatch, AWS CLI • Kubernetes ecosystem: Docker, Helm, ArgoCD \(GitOps\), Karpenter, KEDA, Istio • CI/CD: AWS CodePipeline, CodeBuild, CodeDeploy, Jenkins, GitLab CI, GitHub Actions • Infrastructure as Code: Terraform, CloudFormation • Observability: Prometheus, Grafana, Loki, ELK, CloudWatch, OpenTelemetry • Security: IAM, RBAC, VPN, Network Policies, External Secrets Operator, AWS Secrets Manager • Scripting: Python, Bash, Linux Certifications: AWS Certified DevOps Engineer – Professional \| AWS Generative AI Essentials Sarvam\.ai — Contributed to a one\-time infrastructure setup as part of the platform team: a GPU\-enabled AI/ML EKS cluster provisioned for 100\+ AI applications across 500\+ nodes, including dedicated GPU node pools\. CommerceIQ — Contributed to a one\-time EKS platform setup as part of the infrastructure team, provisioning for 100\+ applications across 2000\+ nodes with HPA configured to auto\-scale up to 100 pods per deployment at peak load\. Vouchargram — Managed 10 ECS clusters supporting 100\+ applications, with API Gateway, Auto Scaling Groups, and CodePipeline\-driven deployments\. Reward360 — Ran 5\+ ECS clusters supporting 100\+ applications with automated CodePipeline deployments\. New Street Technology \(NST\) — Set up 3 EKS clusters running 100\+ applications with ArgoCD and Jenkins pipelines, using HashiCorp Vault for secrets management\. Zaggle — Optimized CI/CD pipelines and reduced cloud costs\. BetterPlace — Implemented DevOps automation for HR\-Tech platform\. Construction\.ai — Provisioned infrastructure for analytics workloads\. Nippon — Delivered DevOps and AWS infrastructure support\.

## Location

Bengaluru

## AI stack

claude code

claude

## Work experience

DevOps Engineer at Truemeds, Mar 2026 \- Present · 8 mos, Bengaluru, Karnataka, India, Own end\-to\-end reliability of 3 production EKS clusters \(150\+ applications, 200\+ nodes\) supporting critical microservices in a healthtech environment, orchestrated through 200\+ Jenkins and ArgoCD pipelines\. • Drove a 30\-40% improvement in deployment speed by redesigning CI/CD pipelines for parallel execution and eliminating manual bottlenecks\. • Introduced rolling\-update and blue\-green deployment strategies alongside improved readiness/liveness probes and graceful shutdown handling, reducing rollout failures\. • Led zero\-downtime EKS cluster upgrades with no critical incidents, coordinating with application teams on migration timing\. • Lowered MTTR by approximately 30% by building faster production\-debugging workflows and proactive alerting on top of the existing observability stack\. • Reduced infrastructure setup time by approximately 50% by automating provisioning workflows in Terraform\. • Hardened platform security and scaling by rolling out RBAC across ArgoCD and Jenkins, adopting Karpenter for node\-level autoscaling and KEDA for event\-driven workload autoscaling, and integrating External Secrets Operator with AWS Secrets Manager\. • Act as primary on\-call responder for critical applications, owning root cause analysis and post\-incident reviews\.

Senior DevOps Engineer at Rapyder Cloud Solutions, Oct 2024 \- Mar 2026 · 1 yr 6 mos, Owned DevOps strategy and delivery for 30\+ production\-grade platforms spanning 30\+ client AWS accounts across fintech, edtech, and AI, serving as the senior technical point of contact for infrastructure decisions\. • Architected highly available AWS infrastructure \(EKS, ECS, EC2, Lambda\) with API exposure via Amazon API Gateway and Kong API Gateway, CloudFront/Route 53 for global, low\-latency delivery, AWS PrivateLink for cost\-efficient private connectivity, and AWS RAM for secure cross\-account resource sharing\. • Standardized infrastructure provisioning by building reusable Terraform and CloudFormation modules adopted across client projects, reducing repeat setup work\. • Introduced GitOps workflows using ArgoCD across client platforms, improving deployment traceability and giving teams reliable one\-click rollback\. • Directed AWS cost optimization initiatives across multiple client accounts, identifying and eliminating unnecessary cloud expenditure\. • Introduced Istio service mesh and OpenTelemetry\-based tracing to improve service\-to\-service observability across client platforms\. • Mentored junior and mid\-level engineers, set technical standards for CI/CD and observability, and led cross\-functional coordination between engineering, client stakeholders, and delivery teams\.

DevOps Engineer at Rapyder Cloud Solutions, May 2022 \- Oct 2024 · 2 yrs 6 mos, Delivered 15\+ small, medium, and enterprise\-grade projects across fintech, edtech, and AI domains\. • Architected and deployed AWS ECS/EKS clusters with Docker to support high\-availability production workloads with minimal downtime\. • Built and automated CI/CD pipelines \(Jenkins, ArgoCD, AWS CodePipeline, Git\) reducing release cycles from hours to minutes\. • Implemented Terraform and Helm for infrastructure as code, cutting infrastructure provisioning time by 70%\. • Achieved 30\-40% AWS cost savings for multiple clients through auto\-scaling and infrastructure tuning\. • Designed end\-to\-end observability \(Prometheus, Grafana, Loki, ELK, CloudWatch\) ensuring proactive monitoring and incident response\. • Managed and mentored a 10\-member DevOps team delivering multi\-domain projects under strict timelines\. • Configured Amazon RDS, Aurora PostgreSQL, ElastiCache \(Redis\), and OpenSearch for application backends, caching, and search, using AWS CLI and Python/Bash scripting to automate operations including ECR image builds\.

## Education

Master of Computer Applications \- MCA, Computer Science, City college, 27/2, 33rd Cross, 2nd Main road, 7th block, Jayanagar, Bangalore\-82

Master of Computer Applications, City Engineering College

[View the original profile](https://tal.club/meet/chandan-tiwary)

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