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Ramanathan Nachiappan

Professional Experience

Software Development Engineer IV (Lead)

GoDaddy Com LLC | Denver, CO | Apr/2022 - Present
  • AI-Driven Infrastructure Modernization: Built multi-agent AI systems that update legacy infrastructure templates from deprecated runtimes and database engines to supported versions, upgrading 100,000+ resources and delivering ~85% developer time savings, recognized by the CTO for resolving major technical debt.
  • Legacy Compliance Automation: Developed multi-agent systems to assist engineering teams in migrating codebases from legacy compliance frameworks to modern governance standards.
  • AI Orchestration Frameworks: Initiated Agent orchestration frameworks and MCP-driven integrations to automate AI adoption for cloud infrastructure modernization. Improved AI system reliability through agent evaluation frameworks and prompt optimization.
  • AI-Driven Compliance Capabilities: Integrated AI-driven compliance capabilities to automatically generate service-specific guardrails for new AWS services, embedding them into developer workflows for “compliance-by-default” adoption across the SDLC. Collaborated with platform engineering and security teams to ensure AI-driven capabilities align with enterprise governance standards and drive measurable efficiency gains.
  • Platform Engineering & Enterprise Scale: As Principal Engineer, architected a centralized governance platform delivering CloudFormation-based infrastructure via AWS Service Catalog. Engineered high-availability CI/CD pipelines with StackSet integration to automate the rollout of standardized blueprints across 2,000+ accounts and 10,000+ regional environments, ensuring consistent, enterprise-scale compliance for 4+ years.
  • Cloud Governance & Compliance: Led initiatives within Cloud Governance, designing scalable platforms and developer-facing tools to strengthen cloud controls while improving productivity and delivery speed.
  • Industry Influence: Authored “Beyond Bootstrap: Bootstrapless CDK Deployments at GoDaddy” — published on the AWS Official Blog and cross-posted on the GoDaddy Engineering Blog.
  • Leadership & Mentorship: Mentored engineers, collaborated cross-functionally with security, compliance, and platform teams, and represented Cloud Governance in leadership forums.
Published on AWS Official Blog & GoDaddy Engineering BlogCTO Recognition for AI-Driven Modernization
Agentic AICrewAILangChain/LangGraphClaude Agentic SDKFastMCPPythonFastAPIPydanticAWS CDKAWS CloudFormationAWS Service CatalogAWS SCPAWS IAMAWS ServerlessAWS ECSDockerGitHub Actions

Software Development Engineer

Amazon Web Services | Seattle, WA / Denver, CO | Aug/2020 - Apr/2022
  • Distributed Polling Systems: Developed and maintained a large scale distributed global polling system using Python and DynamoDB to capture real-time telemetry from critical data center infrastructure (BMS/EPMS systems) across AWS regions.
  • Full-Stack Development: Developed enterprise-grade features for the quote-to-contract platform used by AWS Sales, enabling secure, efficient workflows for high-value enterprise deals.
JavaSpring BootTypeScriptReactJSPythonAWS DynamoDBJenkins

Software Development Engineer 2

GoDaddy Com LLC | Tempe, AZ | Jan/2019 - Aug/2020
  • Cloud Platform Engineering: Built to the enterprise AWS landing zone platform, provisioning account resources for project teams and defining organizational structure aligned with cost centers for budgeting across verticals and teams.
  • Infrastructure Components: Built core infrastructure components including customized VPCs, Direct Connect integration to on-prem environments, IAM resources, pipelines, and centralized logging, enabling secure, scalable, governed cloud operations. Collaborated with application teams to ensure consistent patterns for networking, identity, security, and Service Catalog adoption.
  • Cloud Artifacts Management: Implemented a monorepo strategy for AWS Lambda services, improving maintainability, consistency, and deployment efficiency across multiple GoDaddy AWS accounts. Designed and built a fully customized CI/CD pipeline to deploy differential updates to monorepo artifacts, enabling efficient and automated system operations.
AWS OrganizationsAWS AccountsAWS CloudFormationAWS IAMAWS LambdaAWS Service CatalogAWS NetworkingAWS ServerlessPythonJenkins

Early Career & Internships

Section titled “Early Career & Internships”

Software Engineering Intern

Paradox LLC | Scottsdale, AZ | Sep/2018 - Nov/2018
  • Job Search API: Joined as one of the first ~10 engineers and built a Job Search API service, enabling efficient querying and retrieval of job listings for the paradox AI Assistant using Python Django and ElasticSearch Service.
  • Delivered a functional end-to-end service within three months, contributing to the company’s early engineering foundation.
Python: DjangoElasticSearchREST APIs

Summer Analyst

Goldman Sachs & Co | Salt Lake City, UT | May/2018 - Aug/2018
  • Credit Usage Dashboard: Developed a high-performance live credit usage dashboard integrating Kafka, JVM tuning, and scalable architecture.
  • Reliability Engineering: Implemented Test Driven Development (TDD) using Groovy and Spock Framework to ensure code reliability.
JavaApache KafkaReactJSGradleGroovy SpockTDD

Software Engineer

Trimble Technologies | Chennai, India | Jun/2014 - Feb/2016
  • API Integration: Built and maintained APIs for Trimble Connected Community and Trimble Connect, integrating construction management products into a unified customer platform.
  • Performance Optimization: Optimized high-load, long-running APIs, improving performance by ~85% and significantly reducing latency for critical operations. Developed RESTful web services using Java Spring MVC and Jersey Framework.
Java: Spring MVCJersey FrameworkREST APIsMavenJenkins