Open to opportunities

Sarang Chaudhari

@sarangchaudhari1

AI Production Support Engineer specializing in AWS/Azure cloud, Terraform, and observability for production-ready AI systems.

India

Message

What I'm looking for

I’m looking for a role where I can keep growing in cloud and AI-driven production environments—using Terraform, monitoring, and CI/CD to prevent incidents, move from manual work to scalable infrastructure, and contribute meaningfully to the team.

I’m a System Engineer with 6.5 years of hands-on experience in cloud infrastructure, production support, and AI adoption. I’ve worked across AWS and Azure environments, owning everything from CI/CD pipelines to live system monitoring and incident troubleshooting.

In my current role at Nielsen India Pvt Limited, I’m leading the move from manual cloud setup to Terraform so infrastructure stays consistent and easier to manage across teams. I build GPU-ready AWS environments for ML/AI teams, enabling them to deploy faster without waiting on infrastructure changes.

I focus heavily on keeping production stable: I built Prometheus and Grafana monitoring to catch issues before they become incidents, and I create dashboards that make it clear what’s happening at any moment. I also work closely with backend and microservices teams to ensure AWS and Azure infrastructure can handle the load AI workloads bring.

Previously, I handled day-to-day production support for AWS and set up Azure VMs, Azure AD, Azure Monitor, and Log Analytics to strengthen proactive alerting. I’ve also built and maintained CI/CD pipelines with Jenkins, Docker, and Azure DevOps, and I enjoy translating product requirements into practical cloud architecture decisions.

Experience

Work history, roles, and key accomplishments

Current

System Engineer (AWS & AI)

Current

Nielsen India Pvt Limited

May 2024 - Present (2 years 1 month)

Led migration from manual AWS cloud setup to a Terraform-based workflow to make infrastructure consistent and easier to manage across teams. Provisioned GPU-ready AWS environments for ML/AI workloads and implemented Prometheus/Grafana monitoring and dashboards to detect issues early, while streamlining deployments and partnering with backend/microservices teams.

Terraform AWS Infrastructure Prometheus Grafana azure monitor Sagemaker Jenkins Docker Observability CI CD Automation

Senior Consultant (Production Support)

Quinnox Consultancy Services Ltd

Jan 2023 - Nov 2023 (10 months)

Provided day-to-day production support for AWS environments, resolving issues across core services and maintaining reliability. Set up Azure VMs and Blob Storage for banking workloads, enforced Azure AD RBAC, and configured Azure Monitor/Log Analytics with hybrid CI/CD using Azure DevOps and Jenkins.

EC2 S3 VPC IAM Azure RBAC Azure Monitor & Log Analytics Azure DevOps Jenkins

Associate Software Engineer

Clairvoyant India Pvt Ltd

Nov 2021 - Dec 2022 (1 year 1 month)

Built and maintained Jenkins/Docker CI/CD pipelines for a US stock market intraday data application, monitoring daily pipeline health and troubleshooting failures in Cassandra, Postgres, and Redshift. Supported AWS EKS containerized workloads and contributed to stabilizing high-throughput live intraday data pipelines.

Jenkins Docker CI CD Pipelines Container Workloads Cassandra PostgreSQL Amazon Redshift Nginx

Application Support Engineer

Exocoetus Software

Mar 2019 - Nov 2021 (2 years 8 months)

Supported a banking card management system for debit card PAN generation and full card lifecycle operations, handling escalations based on priority. Wrote and executed SQL (DDL/DML/TCL) on Oracle/MySQL, maintained Jenkins on Linux, and supported AWS integrations (S3/EC2/VPC/IAM/ELB) to ensure reliable daily operations and deployments.

Jenkins Linux Administration SQL Git Github Production Support Banking Debit Card Lifecycle SQL DDL DML TCL