---
title: "Ayush Singh Rathore - DevOps Lead in Delhi | Tal"
description: "Meet Ayush Singh Rathore, Lead Devops Engineer @Sprinklr | Ex-Amazon | 5x AWS | CKA, CKAD | Mentor | Technical Writer based in Delhi. AI stack includes gemini, grok, and hermes agent."
image: "https://tal.club/meet/ayush-singh-18/share-image"
---

# Ayush Singh Rathore on Tal

## Headline

Lead Devops Engineer @Sprinklr \| Ex\-Amazon \| 5x AWS \| CKA, CKAD \| Mentor \| Technical Writer

## About

What I bring to the table: 🔹 Agentic AI for DevOps \- Designed and deployed AI agents on Amazon Bedrock for incident triage, log analysis, and Kubernetes troubleshooting in live production environments\. Hands\-on with agent orchestration, tool\-calling patterns, and MCP\-based integrations into observability and CI/CD pipelines\. Measurably reduced mean\-time\-to\-resolution on recurring incidents and shifted senior engineering hours away from repetitive triage work\. 🔹 Kubernetes at scale \- Production troubleshooting across EKS, EKS\-Anywhere, and ECS\-Anywhere\. Deep experience with AWS Load Balancer Controller, EBS/EFS CSI drivers, Cluster Autoscaler, HPA/VPA, IRSA, RBAC, and kubelet resource optimization\. 🔹 CI/CD & Infrastructure as Code \- Designed and maintained pipelines with ArgoCD, Jenkins, and GitOps workflows\. Automated cloud provisioning end\-to\-end with Terraform — increasingly augmented with AI agents for code review, drift detection, and policy enforcement\. 🔹 AWS architecture \- Designed greenfield architectures for startups and led enterprise migrations across IAM, VPC, EC2, ECS, RDS, Lambda, S3, CloudFront, Route 53, CloudWatch, CloudTrail, SQS, SNS, and Auto Scaling\. 🔹 AIOps & GenAI enablement \- Educating customers on Amazon Bedrock, agentic frameworks, and emerging GenAI tooling\. Helping traditional DevOps teams adopt AI agents safely without compromising reliability or security posture\. Impact as a DevOps Lead in the agentic era: I believe the next generation of platform teams will be smaller, faster, and AI\-augmented\. My focus is on building that future responsibly — using agents to eliminate toil while keeping humans firmly in the loop for critical decisions\. The unglamorous reliability work still matters; agents just let us do more of it, faster\. 📩 Open to connecting with recruiters, founders, and fellow engineers\. Happy to chat about Kubernetes war stories, agentic AI in DevOps, or your team's scaling challenges\.

## Location

Delhi

## AI stack

gemini

grok

hermes agent

openclaw

## Work experience

DevOps Lead at Sprinklr, May 2025 \- Present · 1 yr 2 mos, Gurugram, Haryana, India, Key contributions: Designed and managed production\-grade Kubernetes clusters across AWS, GCP, and Azure — ensuring high availability, scalability, and security\. Defined SLOs, SLIs, and error budgets with automated dashboards, driving measurable reliability gains and reducing incident recurrence\. Built observability stack using Prometheus, Grafana, and ELK/EFK for proactive anomaly detection and faster triage\. Cut GPU/ML infrastructure costs by 25% \(\~$200K/year\) via right\-sizing, spot instances, and workload\-aware scheduling across multi\-cloud environments\. Automated provisioning, scaling, and failover with Terraform, Helm, and CI/CD pipelines — accelerating deployments and eliminating manual toil\. Led P1 incident response — triage, RCA, and blameless postmortems — reducing MTTR by X% and embedding fixes back into the platform\. Hardened systems through autoscaling, chaos engineering, and resilience testing; participated in 24/7 on\-call rotation

Senior Devops Engineer at Amazon Web Services \(AWS\), Apr 2023 \- Apr 2025 · 2 yrs 1 mo, Successfully led infrastructure operations for mega live events such as IPL \(Indian Premier League\) streaming, scaling clusters to support 25M\+ concurrent viewers with zero downtime\. Designed and executed chaos engineering and load testing frameworks to validate system resilience under peak loads, uncovering bottlenecks before production\. Orchestrated IEM \(Internet Event Management\) war rooms during high\-visibility launches and live events, coordinating cross\-functional teams to ensure flawless execution\. Partnered with AWS/GCP solution architects to co\-design multi\- region, active\-active architectures, achieving ultra\-low latency and high availability during global events\. Established runbooks and playbooks for large\-scale incident management, enabling teams to respond faster and with consistency under pressure\.

Devops Engineer \- I \(Deployment\) at Amazon Web Services \(AWS\), Aug 2021 \- Apr 2023 · 1 yr 9 mos

Cloud Engineer at Webkul Software Pvt Ltd, May 2019 \- Aug 2021 · 2 yrs 4 mos, noida, Deployed, secured, and optimized e\-commerce platforms such as WordPress, Magento, Magento2, Laravel, Odoo, and Prestashop on AWS Cloud\. Actively managed and monitored cloud infrastructure on AWS \(EC2, S3, RDS\), including backups, patches, and scaling for optimal performance\. Collaborated with developers to implement Autoscaling and Load Balancing for e\- commerce platforms like Magento and Bagisto, driving increased revenue by introducing new store features\. Designed and automated CI/CD pipelines using Jenkins to ensure smooth and reliable application releases\. Set up monitoring, alerts, and logging in production environments using the Elasticsearch, Fluentbit, and Kibana \(EFK\) stack, enhancing security by notifying the team of malicious activity\. Automated deployment and configuration of e\-commerce setups using Ansible playbooks, streamlining processes and reducing manual effort\. Built Infrastructure as Code \(IaC\) deployments on AWS with Terraform, replicating production environments for efficient scaling and maintenance\. Dockerized LAMP stack applications and managed pr

AWS Trainer at CETPA Infotech Pvt\. ltd\., Jan 2018 \- Apr 2019 · 1 yr 4 mos, Noida, Uttar Pradesh, India

## Education

Bachelor of Technology, Information Technology, Dr Akhilesh Das Gupta Institute of Professional Studies

[View the original profile](https://tal.club/meet/ayush-singh-18)

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