---
title: "Pragya Laxkar - DevOps Engineer in Jaipur | Tal"
description: "Meet Pragya Laxkar, DevOps Engineer | Building Production-Grade Cloud-Native Infrastructure | AWS | EKS | Terraform | GitOps based in Jaipur. Explore public work links including github."
image: "https://tal.club/meet/pragya-laxkar/share-image"
---

# Pragya Laxkar on Tal

## Headline

DevOps Engineer \| Building Production\-Grade Cloud\-Native Infrastructure \| AWS \| EKS \| Terraform \| GitOps

## About

DevOps Engineer with hands\-on experience in AWS cloud infrastructure, Kubernetes orchestration, and CI/CD automation\. Proven expertise in designing production\-grade EKS clusters, provisioning infrastructure using Terraform IaC, and implementing GitOps workflows with Argo CD and GitHub Actions\. Currently at Aguken AI, I manage 10\+ containerized microservices on AWS EKS for a high\-performance AI voice support platform using Kubernetes, Helm, and Istio service mesh\. I've automated end\-to\-end CI/CD pipelines that reduced deployment time from hours to under 10 minutes, provisioned and managed AWS infrastructure \(EKS, EC2, VPCs, NAT Gateways, ALB/NLB, Route53\) using reusable Terraform modules, and migrated the observability stack to self\-hosted SigNoz for unified metrics, traces, and logs\. Key Achievements: \- 70% faster deployments through automated CI/CD pipelines with GitHub Actions and Argo CD \(GitOps\) \- 30% cloud cost reduction by right\-sizing EC2/node instances and tuning pod resource requests/limits \- 100% service visibility with self\-hosted Sentry for real\-time error tracking and zero third\-party data exposure \- Zero\-downtime releases by eliminating all manual deployment steps across every production push \- 60% reduction in provisioning time using reusable Terraform modules across environments Technical Skills: Cloud & Infrastructure: AWS \(EKS, EC2, VPC, ALB/NLB, Route53, S3, DynamoDB, IAM, NAT Gateway, CloudWatch, Lambda\) Containers & Orchestration: Docker, Kubernetes \(EKS\), Helm, Istio \(Service Mesh, mTLS, Circuit Breaking\), KEDA, HPA CI/CD & GitOps: GitHub Actions, Argo CD, Jenkins, GitOps Workflows Infrastructure as Code: Terraform, AWS CloudFormation Monitoring & Observability: Prometheus, Grafana, SigNoz, Sentry, Loki, Kiali, AWS CloudWatch Networking & Security: VPC Design, CNI Networking, WebRTC STUN/TURN, NGINX, Apache, Linux \(RHEL, Ubuntu\) Languages: Python, Bash/Shell, C Open to connecting with fellow engineers and teams working on cloud\-native infrastructure and DevOps challenges\.

## Location

Jaipur

## Work experience

DevOps Engineer at Aguken AI, Jan 2025 \- Present · 1 yr 4 mos, Jaipur, Managing end\-to\-end DevOps infrastructure for a hig\-performance AI voice support platform at Aguken AI\. AWS EKS Infrastructure & Kubernetes Orchestration: Managed 10\+ containerized microservices on AWS EKS using Kubernetes, Helm, and Istio service mesh \- Implemented HPA and KEDA\-based event\-driven autoscaling, rolling updates, and zero\-downtime deployments \- Architected complete VPC design, Kubernetes CNI networking, and Istio configuration \(mTLS, traffic policies, circuit breaking\) \- Configured WebRTC STUN/TURN for real\-time media, reducing end\-to\-end audio latency from 800ms to under 200ms CI/CD Pipeline Automation & GitOps: \- Automated end\-to\-end CI/CD pipelines using GitHub Actions and Argo CD \(GitOps\), reducing deployment time from hours to under 10 minutes \- Eliminated release\-related incidents by removing all manual deployment steps; achieved zero\-downtime releases on every production push \- Provisioned and managed AWS infrastructure \(EKS, EC2, VPCs, NAT Gateways, ALB/NLB, oute53\) using reusable Terraform modules, reducing provisioning time by 60% Full\-Stack Observability & Cost Optimization: \- Migrated observability stack from Prometheus/Grafana to self\-hosted SigNoz for unified metrics, traces, and logs \- Deployed self\-hosted Sentry for real\-time error tracking, achieving 100% service visibility with zero third\-party data exposure \- Optimized AWS compute costs by right\-sizing EC2/node instances and tuning pod resource requests/limits — achieving \~30% reduction in monthly spend

DevOps Intern at LinuxWorld Informatics Pvt Ltd, May 2024 \- Aug 2024 · 4 mos, Jaipur, Project: Docker Automation Script \(Shell Scripting Container Management\) \- Built a menu\-driven Bash automation script covering 10\+ Docker operations \(pull, run, start, stop, attach, delete images/containers\) eliminating the need to remember complex Docker CLI commands \- Reduced repetitive container management tasks by \~40% for daily workflows, improving speed and reducing human error in multi\-container environments\- Designed the script to be extensible — structured or easy addition of volume, network, and registry management modules Project: Cloud Infrastructure & CI/D Foundations \- Provisioned AWS infrastructure \(EC2,S3, VPC, EKS\) and configured basic CI/CD pipelines for real\-world project environments during the internship \- Administered Linux servers \(RHEL/Ubuntu\), wrote shell scripts for task automation, and managed serve configuration end to end Additional Highlights: \- Led and coordinated a team of peers during the internship, managing task delegation and ensuring collaborative delivery \- Conceptualized "TechDate" — a startup idea pitched to 50\+ investors, involving problem identification, solution design, and early\-stage product thinking

Web Development Intern at Cloud Counselage Pvt\. Ltd\., Sep 2023 \- Dec 2023 · 4 mos, Remote, Contributed to full\-stack web development projects, building responsive and user\-friendly web applications during a 4\-month remote internship\. Key Contributions: \- Develope and maintained responsive web pages using HTML, CSS, Bootstrap,and JavaScript, ensuring cross\-browser compatibility and mobile responsiveness\. \- Collaborated with a team of developers to build and deploy web features following Agile methodologies\. \- Gained hands\-on experience with version control using Git and GitHub for collaborative development workflows\. \- Participated in code reviews and implemented feedback to improve code quality and maintainability\.

## Education

Bachelor of Technology \- BTech, Computer Science Engineering, Poornima university

kendriya vidyalaya

## Public links

- github: https://github\.com/PragyaLaxkar

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

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