---
title: "ANDHAVARAPU TARUN - Software Engineer lll in Narasannapeta | Tal"
description: "Meet ANDHAVARAPU TARUN, Senior Platform Engineer @ Morgan Stanley | Kubernetes | AWS | Python | FastAPI | Terraform | GitOps | Internal Developer Platforms | Cloud Native | SRE | Infrastructure Automation | Developer Experience based in Narasannapeta. AI stack includes antigravity and codex."
image: "https://tal.club/meet/andhavarapu-tarun/share-image"
---

# ANDHAVARAPU TARUN on Tal

## Headline

Senior Platform Engineer @ Morgan Stanley \| Kubernetes \| AWS \| Python \| FastAPI \| Terraform \| GitOps \| Internal Developer Platforms \| Cloud Native \| SRE \| Infrastructure Automation \| Developer Experience

## About

I’m a Platform & Backend Engineer around 5 years of experience designing, building, and operating cloud\-native platforms that enable engineering teams to deliver software faster, more securely, and at scale\. My passion lies in building Internal Developer Platforms \(IDPs\), automating infrastructure, and developing backend services that reduce operational complexity while improving developer productivity, platform reliability, and engineering efficiency\. At Morgan Stanley, I've worked across Platform Engineering, Cloud Infrastructure, Backend Development, and DevOps, building production\-grade solutions on AWS and Kubernetes\. My work spans Infrastructure as Code, CI/CD, GitOps, observability, platform security, and backend API development\. I've designed reusable platform capabilities that have helped engineering teams standardize deployments, automate infrastructure provisioning, and improve operational excellence\. Some of the impact I've delivered includes: Reduced deployment time by 83% through GitOps\-driven CI/CD automation\. Improved application onboarding by 33% by designing reusable Kubernetes platform services\. Reduced incident response time by 42% through centralized observability using Prometheus, Grafana, and Loki\. Eliminated 95% of certificate\-related production incidents by automating certificate lifecycle management with Python, Kubernetes, HashiCorp Vault, and cert\-manager\. Built enterprise automation solutions using Python, FastAPI, Boto3, and shell scripting to simplify platform operations, automate infrastructure workflows, and integrate cloud services\. On the backend side, I enjoy building scalable APIs and automation services using Python, FastAPI, REST APIs, GraphQL, MongoDB, PostgreSQL, and Neo4j\. I've contributed to building production systems involving Apache Airflow, event\-driven data pipelines, cloud storage integrations, and GenAI\-powered Retrieval\-Augmented Generation \(RAG\) solutions using OpenAI embeddings and vector search\. I strongly believe that the best platforms are those that developers barely have to think about\. My focus is on building secure, scalable, self\-service platforms that reduce cognitive load, improve developer experience, and enable engineering teams to move faster with confidence\.

## Location

Narasannapeta

## AI stack

antigravity

codex

## Work experience

Software Engineer lll at Morgan Stanley, May 2024 \- Present · 2 yrs 4 mos, CyberSentinel — Distributed Security Platform \(Production\) \[Apache Airflow · OpenShift · GraphQL · OPA · FluxCD · AWS S3 · PostgreSQL · Jenkins\] • Designed and scaled distributed data processing pipelines \(Airflow \+ S3\), enabling event\-driven ingestion and decoupled processing of enterprise security workloads across 10\+ teams\. • Reduced deployment time by 83% \(3 hrs → 30 mins\) by architecting GitOps\-based delivery using FluxCD across all platform environments\. • Owned platform infrastructure on Kubernetes/OpenShift, operating Airflow, GraphQL, and OPA services with high availability for 10\+ dependent teams\. • Led zero\-downtime Airflow upgrade \(v2\.9\.3 → v3\.0\.0\), coordinating backward\-compatibility validation across multiple dependent pipelines and services\. • Implemented SSO \(OIDC\) with LDAP\-based role provisioning for Airflow, eliminating manual access workflows and enforcing auditable RBAC via PostgreSQL\. • Standardised CI/CD architecture \(Jenkins \+ GitOps\), improving release reliability and reducing operational overhead across all distributed services\.

Software Engineer ll at Morgan Stanley, Dec 2021 \- May 2024 · 2 yrs 6 mos, BigID — Enterprise Data Platform \(Kubernetes\-Based Deployment\) \[Kubernetes · EKS · OpenShift · Jenkins · ArgoCD · Prometheus · Grafana · Datadog · MongoDB · PostgreSQL\] • Led Kubernetes\-based production deployment of BigID across EKS and OpenShift, supporting data governance across 50\+ enterprise systems\. • Designed production\-grade platform architecture, standardising cluster integrations, environment parity, and upgrade workflows across all environments\. • Built CI/CD pipelines \(Jenkins → Docker → ArgoCD\), reducing manual deployment effort by 60%\+ and ensuring consistent releases across dev, staging, and production\. • Deployed full observability stack \(Prometheus, Grafana, Loki, Datadog, PagerDuty\), enabling proactive monitoring and reducing mean time to resolution for production incidents\. • Automated MongoDB and PostgreSQL backup and point\-in\-time recovery in Kubernetes using Python and shell scripting, eliminating all manual database intervention\. • Prototyped microservices\-based architecture that formed the technical foundation for the CyberSentinel distributed platform built in the subsequent role\.

## Education

Bachelor's degree, Electrical, Electronic and Communications Engineering Technology/Technician, Gayatri Vidya Parishad College of Engineering \(Autonomous\), 530048\(CC\-13\)

Bachelor of Technology, Electrical, Electronics and Communications Engineering, Gayatri Vidya Parishad College of Engineering \(Autonomous\)

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

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