Aditya Logishetty

About Aditya Logishetty

Platform and Infrastructure Engineer with experience in cloud-native platforms on AWS, specializing in Kubernetes, Kafka, and automation-driven infrastructure. I design reliable, cost-efficient platforms that scale across regions and support modern workloads while reducing operational complexity, with a growing focus on AI platform infrastructure.

Experience

1. Software Engineer ll - Infrastructure

   Chewy

   Feb 2022 — Present · Boston, MA, US

   Focused on reliability, automation, cost efficiency, and developer enablement across Kubernetes and Kafka platformsPlatform Foundations & Cloud Architecture• Designed and delivered AWS Landing Zones, standardizing account vending with VPCs, subnets, SCPs, IAM roles, logging, networking, and security baselines using CloudFormation and Terraform.• Built multi-VPC, multi-environment account strategies, reducing account sprawl and simplifying long-term cloud governance.EKS Platform Reliability & Scalability• Manage Enterprise shared EKS platform• Implemented ScaleOps to support cost optimization + rightsizing of pods• Led EKS upgrades and migrations, including nodegroup AMI upgrades• Enabled GitOps to support end-end automated infra component deployments and rollbacksKafka Platform Engineering & AI/Data Enablement• Led Kafka platform standardization and modernization across markets, migrating unmanaged clusters to enterprise shared kafka clusters without downtime• Implemented Kafka Cruise Control + Prometheus for automated rebalancing, broker hotspot mitigation, and real-time cluster load monitoring.• Designed and deployed AKHQ self-service visibility, enabling teams to inspect topics, ACLs, consumer groups, and messages • Built cross-market and cross-cloud (GCP → AWS) Kafka authentication, enabling secure multi-market data flows without additional compute.• Hardened MSK security by decommissioning IAM auth and enforcing SASL with strict ACL governanceAutomation, DR & Cost Optimization• Built database DR automation (Aurora/Postgres) using AWS Lambda, Step Functions, and Jenkins to enable controlled regional failover.• Automated Kafka secrets and topics onboarding via Jenkins pipelines, cutting deployment time by ~50%.• Created utilization dashboards and led monthly KT sessions to drive cost-aware engineering.

Education

• Gitanjali devashala

  School, Computer Science

• Marist University

  Master of Science - MS, Management Information Systems, General

• Jawaharlal Nehru Technological University

  Bachelor of Technology - BTech, Computer Science