---
title: "Ashish Saini - Platform Engineer 4 in Bengaluru | Tal"
description: "Meet Ashish Saini, Lead Platform Engineer | Platform Engineering | SRE | AWS • Kubernetes • Terraform • DevOps • Observability based in Bengaluru. AI stack includes antigravity, claude code, and codex."
image: "https://tal.club/meet/ashish-saini/share-image"
---

# Ashish Saini on Tal

## Headline

Lead Platform Engineer \| Platform Engineering \| SRE \| AWS • Kubernetes • Terraform • DevOps • Observability

## About

Senior Platform & DevOps Engineer with 12\+ years of experience designing and operating scalable, resilient cloud platforms\. I specialize in Platform Engineering, infrastructure automation, and SRE practices, helping teams deliver software faster while maintaining reliability at scale\. I have extensive experience building and operating cloud\-native platforms on AWS and Kubernetes, implementing Infrastructure as Code using Terraform and Pulumi, and designing observability platforms that improve system reliability and developer productivity\. Cloud Infrastructure & Platform Engineering: Design and manage scalable AWS environments using EC2, VPC, IAM, EKS, S3, and CloudWatch\. Led migrations from Azure Service Fabric to Docker and Kubernetes, improving scalability, reliability, and operational efficiency\. Kubernetes & Container Platforms: Experienced managing large\-scale Kubernetes environments including EKS upgrades, Docker image lifecycle with AWS ECR, and Karpenter\-based autoscaling\. Built container\-based deployment platforms and integrated observability with Datadog\. Infrastructure as Code & Automation: Provision and manage infrastructure using Terraform and Pulumi \(Python\) to deploy and manage AWS resources and Kubernetes clusters across multiple environments with consistency and repeatability\. SRE, Monitoring & Observability: Implemented monitoring and logging platforms using Prometheus, Grafana, Datadog, and ELK\. Established SLO\-driven monitoring, alerting strategies, and operational playbooks, reducing MTTR by 35%\. Reliability & Chaos Engineering: Used Gremlin to simulate failure scenarios and validate system resilience, helping achieve 99\.99% uptime for critical services\. Key Achievements: • Migrated 30\+ services to Kubernetes, improving deployment speed and reliability • Reduced deployment time by 50% through CI/CD automation • Built observability platforms using Datadog, Prometheus, and Grafana • Reduced cloud costs using Karpenter\-based autoscaling strategies • Achieved 99\.99% uptime through resilience engineering practices Experienced with Jira, Confluence, and Bitbucket administration, including upgrades, plugin integrations, and workflow optimization\. I enjoy building scalable platforms that enable engineering teams to move faster while maintaining reliability and operational excellence\. Open to Platform Engineering, SRE, and Cloud Infrastructure leadership opportunities\.

## Location

Bengaluru

## AI stack

antigravity

claude code

codex

github copilot

opencode

## Work experience

Platform Engineer 4 at Amadeus, May 2024 \- Present · 2 yrs 4 mos, Bengaluru, Karnataka, India, Lead DevOps / Platform Engineering for an AWS\-based Kubernetes platform, enabling teams to deploy, scale, and operate microservices reliably across environments\. Migrated 30\+ microservices from Azure Service Fabric to AWS EKS, improving scalability, deployment speed, and operational efficiency with minimal downtime\. Designed and provisioned AWS infrastructure using Pulumi \(Python\) and Terraform, enabling repeatable deployments and reducing manual provisioning errors by 80%\. Built and optimized CI/CD pipelines using Octopus Deploy, TeamCity, GitHub Actions, Jenkins, and Git, reducing deployment time by 50% and increasing release frequency\. Modernized observability by migrating from ELK to Datadog, delivering real\-time logs, metrics, and alerts for Kubernetes workloads, reducing MTTR by 35%\. Developed reusable Helm charts to standardize deployments, improve release consistency, and simplify version management across environments\. Implemented autoscaling on AWS EKS using Karpenter and Kubernetes scaling strategies, optimizing compute utilization and reducing cloud costs by 25%\. Managed NGINX / NGINX Ingress Controller configurations including nginx\.conf, reverse proxy, load balancing, SSL termination, and traffic routing for production workloads\. Improved resilience through Chaos Engineering and load testing using Gremlin, validating recovery mechanisms and contributing to 99\.99% uptime\. Managed incidents, root cause analysis, change management, and continuous service improvement to ensure platform stability and reliability\.

Senior Site Reliability Engineer at Biofourmis, Nov 2020 \- May 2024 · 3 yrs 7 mos, Bengaluru, Karnataka, India, Improved operational reliability by supporting monitoring, alerting, and incident response processes across Kubernetes and cloud infrastructure environments\. Supported global DevOps operations by managing AWS cloud infrastructure, Kubernetes deployments, monitoring platforms, and CI/CD pipelines in a fast\-paced healthtech environment\. • Managed AWS infrastructure including EC2, S3, VPC, IAM, EFS, CloudWatch, Auto Scaling, and CloudTrail, ensuring scalable, secure, and cost\-efficient cloud environments\. • Implemented IAM roles and policies to secure access to cloud resources, strengthening cloud security and compliance across environments\. • Designed and maintained backup and recovery processes for MongoDB and Redis, ensuring high availability and disaster recovery readiness\. • Built and maintained Docker images using AWS ECR, supporting containerized application deployments and improving environment consistency\. • Supported Kubernetes and EKS operations, resolving production alerts, assisting developers with deployments, and managing secrets and cluster access\. • Developed Grafana dashboards powered by Prometheus metrics, enabling real\-time monitoring of system performance and reliability\. • Automated application deployments using Jenkins and Spinnaker, improving release efficiency and reducing manual deployment errors\. • Performed Aurora MySQL upgrades to version 5\.7, improving database stability and performance across production environments\. • Managed Kafka and AKHQ operations, supporting event\-driven architecture and improving visibility into messaging systems\.

Senior Support Specialist at Societe Generale Global Solution Centre, May 2016 \- Nov 2020 · 4 yrs 7 mos, Bengaluru, Karnataka, India

Senior Software Engineer at SAP Labs India, Dec 2014 \- Apr 2016 · 1 yr 5 mos, Bangalore

Senior System Engineer at IGATE, Aug 2012 \- Dec 2014 · 2 yrs 5 mos, Bengaluru, Karnataka, India

## Education

Bachelor of Engineering \- BE, Computer Science, North Maharashtra University

12th, Science, kendriya vidyalaya

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

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