---
title: "Shreyas P - Senior DevOps Engineer in Bengaluru | Tal"
description: "Meet Shreyas P, AI Orchestrator | Senior Platform Engineer @ Moneyview | AWS | GCP | Docker | Kubernetes | Jenkins | Ansible | Terraform | Python based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links including github and medium."
image: "https://tal.club/meet/shreyas-p-2/share-image"
---

# Shreyas P on Tal

## Headline

AI Orchestrator \| Senior Platform Engineer @ Moneyview \| AWS \| GCP \| Docker \| Kubernetes \| Jenkins \| Ansible \| Terraform \| Python

## About

\- Knowledge of cloud Computing Strategies \(IaaS, PaaS, SaaS\) & building, deploying and maintaining the Cloud environment\. \- Experience on AWS Services like VPC, EC2, CloudWatch, ELB, Autoscaling, Route53, IAM, RDS, CloudFormation, Lambda, S3, EFS, CloudTrail, AWS Organizations\. \- Worked on Azure Virtual Machines, Virtual Network, Azure Storage, ARM templates\. \- Proficient with various development, testing and deployment tools \- Git, Docker, Kubernetes, Jenkins, Jira, Ansible, Terraform\. \- Experience in developing CI/CD pipelines\. \- Used Terraform for automating the Cloud Infrastructure\. \- Knowledge of Linux and Scripting languages \(Python and Shell Scripting\)

## Location

Bengaluru

## AI stack

claude code

claude

codex

gemini

hermes agent

hugging face

## Work experience

Senior DevOps Engineer at Moneyview, Mar 2024 \- Present · 2 yrs 6 mos, Bengaluru, Karnataka, India, \- Architected end\-to\-end infrastructure for the co\-lending platform, enabling new loan disbursement partnerships and contributing to a 20% increase in company profitability\. \- Led ECS → EKS migration for 70\+ applications, reducing host utilization by 15% and establishing a GitOps\-driven Kubernetes platform\. \- Implemented Argo Rollouts blue/green and canary deployments across 50\+ microservices with automated rollbacks and metrics\-driven promotion gates, significantly reducing deployment\-related incidents\. \- Migrated Kubernetes networking from AWS VPC CNI to Cilium across production EKS clusters, enabling eBPF networking, advanced network policies, and Hubble observability; reduced network latency by 20%, eliminated pod IP exhaustion, and reduced network incidents by 40%\. \- Led migration from Kubernetes Ingress to Gateway API for 50\+ services, standardizing traffic management, reducing configuration complexity by 60%, and accelerating onboarding by 50%\. \- Diagnosed and resolved production conntrack table exhaustion through kernel tuning \(nf\_conntrack\_max, nf\_conntrack\_buckets\), eliminating recurring connection\-drop incidents\. \- Enforced mTLS using AWS Private CA, managing certificate lifecycle and establishing zero\-trust service\-to\-service communication\. \- Built an AI\-powered Developer Platform Agent on AWS Bedrock using Python, enabling infrastructure provisioning, runbook search, and incident troubleshooting through natural language, reducing operational support tickets across 8\+ engineering teams\. \- Engineered cross\-region disaster recovery \(Mumbai → Hyderabad\) with replication, failover automation, and runbooks to meet RTO/RPO objectives\. \- Reduced infrastructure costs by migrating Amazon RDS clusters to r8g instances and optimizing Datadog APM sampling while maintaining full observability\.

DevOps Engineer at Wego\.com, Mar 2022 \- Mar 2024 · 2 yrs 1 mo, Bengaluru, Karnataka, India, \- Led the decoupling of services from 3 ECS clusters to 10 ECS clusters aligned with cross\-functional teams, improving scalability, team ownership, and deployment isolation\. \- Spearheaded AWS infrastructure migration from Singapore to North Virginia, optimizing cloud resource allocation and reducing infrastructure costs by 12%\. \- Migrated the logging platform from Fluentd to Vector\.dev for S3, GCS, and OpenSearch, creating a unified logging pipeline and improving log accuracy by 75%\. \- Leveraged Vector\.dev for log collection, transformation, and routing to OpenSearch, reducing Amazon CloudWatch log ingestion costs by 60%\. \- Designed and provisioned scalable Azure infrastructure using Terraform and ARM Templates, improving deployment consistency and reducing manual provisioning effort by 60%\. \- Configured Azure Monitor, Log Analytics, and Application Insights, achieving 99\.9% platform availability and reducing MTTR by 40% through proactive monitoring and alerting\. \- Migrated secret management from Ansible Vault to AWS Secrets Manager, improving infrastructure security posture by 88% while simplifying secret rotation and access management\. \- Established secure hybrid connectivity using Azure VPN Gateway and ExpressRoute, enabling 3\+ on\-premises to Azure migrations with zero downtime\. \- Integrated Trivy into the container security pipeline to scan Docker images, identifying vulnerabilities and reducing security risk exposure by 15%\. \- Developed and maintained Kubernetes manifests and Helm charts, reducing deployment complexity by 20% and improving release automation\. \- Implemented Change Data Capture \(CDC\) using Debezium, Redpanda, and Kafka, enabling real\-time replication of MySQL data into streaming pipelines for downstream consumers\.

Software Engineer at Cerner Corporation, Sep 2019 \- Mar 2022 · 2 yrs 7 mos, Bengaluru, Karnataka, India, \- Developed real\-time business intelligence dashboards using SQL and Tableau for US and UK clients, enabling data\-driven decision\-making and improving client satisfaction to 90%\. \- Engineered robust data import/export solutions, improving application efficiency by 10% while ensuring data accuracy, consistency, and integrity across enterprise systems\.

Engineer Intern at UpFinit Private Limited, Jun 2018 \- Jul 2018 · 2 mos

## Education

Bachelor of Engineering \- BE, Information Science, Visvesvaraya Technological University

Bachelor of Engineering, Information Science/Studies, Acharya

## Public links

- github: https://github\.com/ShreyasShrez
- medium: https://medium\.com/@shreyasp619

[View the original profile](https://tal.club/meet/shreyas-p-2)

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