Sudharsan S

Owned end-to-end cloud platform architecture supporting 7,000+ AWS servers and 50+ production microservices, built entirely using Infrastructure as Code. Lead and mentor a 20-member AWS and Platform Engineering team, driving operational excellence and reliability. Architected and executed AWS landing zone migrations, SSO integrations, and infrastructure readiness for ISO and security certifications. Enterprise-scale AWS re-architecture, migrating from a single account to 20 sub-accounts, executing cross-region migration for cost savings, and standardising network connectivity via Transit Gateway. Architected Terraform-to-Terragrunt migration, including refactoring a monolithic Terraform state into multiple smaller, independently managed state files. Designed and developed InfraBot, an AI-driven self-healing infrastructure platform in Python that performs automated incident analysis, root-cause detection, and safe remediation, reducing MTTR by ~65%. Architected transient QA environments with a one-click Jenkins pipeline that provisions AWS infrastructure, configures services, and deploys applications end-to-end in ~45 minutes, reducing setup time from several days. Drove 25% reduction in AWS costs through architectural optimization, right-sizing, and automation-driven governance.

As a vital member of the Outlook Mobile team, developed, improved, and managed automated development pipelines. On call for Outlook Mobile, Identify issue resolutions, perform root cause analysis of issues and prepare mitigation solutions. Architected and built an end-to-end website performance testing platform in Python using Google Lighthouse, including a UI for job submission and a scalable backend for distributed test execution at scale.

Provisioned an easily manageable hybrid infrastructure (Amazon AWS + On-premise) utilising Infrastructure as Code tools like Ansible, Packer and Terraform. Built fully automated CI/CD pipelines on Bamboo for containerised applications using Docker. Designed an overall service architecture and pipelines of the Single Sign-on application with the micro-services architecture.

Used Python boto3 AWS module to automate the provisioning of infrastructure on AWS. Implemented a Blue and green deployment strategy to deploy the Java-based application on the cloud. End-to-end migration of the on-premise data centre into AWS, built up the AWS infrastructure from scratch.

Write, improve, and maintain Chef recipes to automate Infrastructure on AWS. Implemented the Nagios monitoring system for the Freshdesk product suite. Deployed a centralised monitoring environment (Graphite, Grafana, InfluxDB, CollectD) which gathers system and application run-time metrics.

Built UI framework to automate desktop testing based on Sikuli using python. reduced the time for each release cycle by 25% by building PHP applications to help the release engineer.

Respond to support tickets and incidents. Out of curiosity learned Perl scripts and started improving the scripts to reduce the workload by 10%.