Shreyas P profile photo 1 on Tal

Shreyas P

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

Bengaluru

7+ years of work experience

Moneyview
Mar 20242 yrs 6 mosPresent

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.
Wego.com
Mar 20222 yrs 1 moMar 2024

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.
Cerner Corporation
Sep 20192 yrs 7 mosMar 2022

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.
UpFinit Private Limited
Jun 20182 mosJul 2018

GitHub
@ShreyasShrez
Medium
@shreyasp619

Shreyas’s AI Stack

claude code
claude code
claude
claude
codex
codex
gemini
gemini
hermes agent
hermes agent
hugging face
hugging face

Education

Visvesvaraya Technological University

Bachelor of Engineering - BE, Information Science

Visvesvaraya Technological University

20154 yrs2019
Acharya

Bachelor of Engineering, Information Science/Studies

Acharya

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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