---
title: "kamal sai - DevOps Engineer in Bengaluru | Tal"
description: "Meet kamal sai, DevOps Engineer at Siemens based in Bengaluru. AI stack includes claude code, github copilot, and openai."
image: "https://tal.club/meet/kamal-sai/share-image"
---

# kamal sai on Tal

## Headline

DevOps Engineer at Siemens

## About

I am a 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with 𝟯\+ 𝘆𝗲𝗮𝗿𝘀 of experience building, scaling, and maintaining high\-availability, multi\-region cloud platforms on 𝗔𝗪𝗦 for enterprise clients\. I specialize in Infrastructure as Code \(IaC\) using 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺, continuous deployment using 𝗙𝗹𝘂𝘅 𝗖𝗗 \(𝗚𝗶𝘁𝗢𝗽𝘀\) and Azure DevOps, and full\-stack observability via 𝗢𝗽𝗲𝗻𝗧𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆, Loki, Grafana, and Tempo\. My work focuses on driving operational efficiency, scaling containerized microservices, and implementing DevSecOps best practices compliant with international standards\. ⚡ Key Highlights: • 💰 58% Cost Reduction: Automated serverless AWS Lambda lifecycle schedules saving 98 compute hrs/week • 🚀 20\+ Microservices: Scaled continuous delivery on AWS EKS using Helm, Flux CD, and Istio\. • 📊 Lower MTTR: Built unified OpenTelemetry, Loki, Tempo, and Grafana distributed tracing stacks\. 🌎 Open to Remote Roles: DevOps \| Platform Engineering \| Cloud Infrastructure \(APAC & EMEA ±4 hrs IST\)\. 🛠️ Core Stack: AWS \(EKS, ECS Fargate, EC2, Lambda, S3, VPC, Route 53\), Azure \| Docker, Kubernetes, Helm, Kustomize, Karpenter \| Terraform, Ansible \| Flux CD, Argo CD, Istio, External Secrets Operator \(ESO\) \| Azure DevOps, GitLab CI/CD, GitHub, Git \| OpenTelemetry, Prometheus, Grafana, Loki, Promtail / Alloy, Tempo, AWS X\-Ray, CloudWatch \| Redis, AWS ElastiCache, Amazon DocumentDB, MongoDB Atlas, Snowflake \| Maven, npm, JFrog Artifactory, Sonatype Nexus, OpenAPI/Swagger \| Python, Bash

## Location

Bengaluru

## AI stack

claude code

github copilot

openai

ChatGPT

## Work experience

DevOps Engineer at Siemens, Jul 2023 \- Present · 3 yrs 3 mos, India, 🛠️ 𝗖𝗹𝗼𝘂𝗱 & 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 • Scaled continuous delivery for AWS EKS hosting 20\+ microservices using Kubernetes & Helm\. • Standardized GitOps workflows using Flux CD custom resources \(GitRepository, Kustomization\)\. • Managed traffic routing with Istio, memory\-based HPA scaling, and pod anti\-affinity\. ⚡ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗜𝗮𝗖 & 𝗖𝗜/𝗖𝗗 • 💰 58% Cost Savings: Built serverless Lambda schedulers saving 98 compute hrs/week\. • 🛠️ Re\-architected cloud assets into modular Terraform modules to eliminate drift\. • 🔄 90% YAML Reduction: Migrated 11 manual setups into template\-driven GitLab CI/CD\. •📦 Data Pipelines: Engineered serverless Python AWS Lambda solutions to ingest DocumentDB and MongoDB Atlas data, using Snowpark to process and load it into Snowflake\. 📊 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 • Operated OpenTelemetry, Loki, and Tempo tracing stacks to lower MTTR in Grafana\. • Secured workload credentials using IRSA \+ External Secrets Operator \(ESO\)\. • Provisioned CloudWatch dashboards tracking 4xx/5xx error rates and system metrics\.

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, Vellore Institute of Technology

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

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