---
title: "Shivansh K. - DevOps Engineer II in Greater Bengaluru Area | Tal"
description: "Meet Shivansh K., DevOps Engineer II @ Licious | Ex Lenskart | LLMOPS | GitOps based in Greater Bengaluru Area. AI stack includes claude code, claude, and codex. Explore public work links including github."
image: "https://tal.club/meet/shivansh-k/share-image"
---

# Shivansh K\. on Tal

## Headline

DevOps Engineer II @ Licious \| Ex Lenskart \| LLMOPS \| GitOps

## About

I build infrastructure that doesn't break at 3am\. Over the past 4\+ years, I've designed and operated high\-availability cloud platforms for two of India's fastest\-growing consumer brands — Lenskart and Licious — serving millions of users across microservices\-heavy, high\-throughput environments\. At Licious, I engineered a SQL deployment automation framework that cut deployment cycles by 88% and reduced human errors by 95%\. I provisioned and migrated the entire Supply Chain microservices platform to AWS EKS — achieving 99\.9% uptime with full observability \(Prometheus \+ Grafana \+ EFK stack\)\. At Lenskart, I led the migration of 150\+ microservices to EKS, built a multi\-version Helm chart system that improved operational efficiency by 30%, and architected a domain monitoring platform covering 400\+ domains — all while reducing system downtime by 30%\. What I bring to every team: → AWS: EKS, EC2, DynamoDB, Lambda, Secrets Manager, IAM, Kafka, Redis → Infrastructure as Code: Terraform, Helm, Ansible → Observability: Prometheus, Grafana, EFK Stack, New Relic, Alertmanager → CI/CD: Jenkins, GitLab CI, Bitbucket, Shell Scripting, Python → Kubernetes: Cluster Autoscaler, KEDA, multi\-arch Docker, GitOps I care about reducing toil, improving reliability, and building systems that scale without drama\. Currently open to Senior DevOps Engineer, Platform Engineer, or SRE roles in Bengaluru \(open to Gurugram/remote\)

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

codex

opencode

## Work experience

DevOps Engineer II at Licious, Jul 2025 \- Present · 1 yr 2 mos, Bengaluru, • Engineered an enterprise\-grade SQL deployment automation framework using Jenkins, Bitbucket, AWS DynamoDB, and Secrets Manager — integrating SQLFluff linting, IAM\-based authorization, and SlackOps alerting, achieving 88% faster deployment cycles and 95% reduction in human errors\. • Provisioned a production\-grade AWS EKS cluster with Cluster Autoscaler, KEDA, Redis, MySQL, and Kafka — fully automated via Terraform and Helm — enabling elastic, high\-availability infrastructure for mission\-critical workloads\. • Migrated the entire Supply Chain microservices application to EKS with full observability stack \(Prometheus, Grafana, EFK\), achieving 99\.9% uptime and a 40% improvement in resource utilization efficiency\.

DevOps Engineer at Lenskart\.com, Feb 2022 \- Jun 2025 · 3 yrs 5 mos, Bengaluru, • Led end\-to\-end migration of 150\+ microservices to AWS EKS, architecting a seamless transition that improved scalability, availability, and performance across four distinct Kubernetes cluster versions\. • Architected a high\-availability real\-time monitoring and alerting framework using Prometheus and Blackbox Exporter — integrated with Google Chat webhooks via Alertmanager — reducing system downtime by 30% and improving service availability across all microservices\. • Developed a multi\-version compatible Helm Chart that enhanced operational efficiency by 30%, enabling consistent deployments across four Kubernetes cluster versions with minimal configuration drift\. • Designed and optimized multi\-architecture Dockerfiles using Buildx, multi\-stage builds, and BuildKit caching — significantly reducing image sizes and build times across all microservices\. • Implemented a customized EFK Stack \(Elasticsearch, Fluentd, Kibana\) for centralized log aggregation, enabling engineering teams to drastically reduce issue resolution turnaround time \(TAT\)\. • Architected an automated domain monitoring system for 400\+ domains using GoDaddy APIs, Pushgateway, Prometheus, and Grafana — enabling real\-time tracking, dynamic alerting, and proactive notification to prevent expiry incidents\. • Built an end\-to\-end compliance pipeline integrating Lambda\-based auto\-tagging for EKS instances with real\-time EC2 monitoring — enabling immediate detection and reporting of non\-compliant resources via Google Chat\. • Converted existing infrastructure to code using Terraformer, enabling version\-controlled, auditable, and automated infrastructure management across the entire production environment\.

MlOps at LinuxWorld Informatics Pvt Ltd, Apr 2020 \- Mar 2021 · 1 yr, Jaipur, Rajasthan, • Designed and implemented end\-to\-end ML production systems, including project scoping, data processing, modeling strategies, and deployment requirements\. • Established model baselines, addressed concept drift, and developed strategies for continuous improvement of production ML applications\. Built data pipelines for gathering, cleaning, and validating datasets to ensure high\-quality inputs for ML models\. • Deployed and maintained ML models on Kubernetes, ensuring scalability, reliability, and efficient resource utilization\. • Implemented saving and loading mechanisms for deep learning models using Keras for efficient model management\. • Developed Computer Vision solutions leveraging Neural Networks for text data processing, image, and video analysis\.

## Public links

- github: https://github\.com/Shivansh5

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

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