About Gowthaman Chinnathambi
Director of Cloud Intelligence & XOps at Info Services. Building enterprise-scale Cloud, AI, Data, and Platform Engineering capabilities that enable organizations to innovate faster, operate smarter, and scale with confidence.
I am an engineering leader with over 11 years of experience designing and leading enterprise technology transformations across Cloud, Platform Engineering, Artificial Intelligence, Data Platforms, and DevOps.
My career has evolved from software engineering to leading large-scale engineering initiatives, where my focus extends beyond technology to building engineering organizations, empowering teams, and creating platforms that accelerate business outcomes.
Today, I lead initiatives spanning Cloud Intelligence, XOps, AI Engineering, Platform Engineering, Data Platforms, and Software Defined Vehicle (SDV) infrastructure.
Experience
- Director of Cloud Intelligence & XOps — Info Services (Jun 2026 – Present). Leading enterprise initiatives across AI platforms, cloud transformation and engineering strategy.
- Principal Engineering Manager — Info Services (Dec 2024 – Present). Leading engineering teams delivering cloud-native platforms, enterprise DevOps capabilities, observability, and AI-enabled engineering solutions.
- DevOps Manager — Info Services (May 2021 – Dec 2024). Built scalable DevOps platforms supporting enterprise application delivery through Kubernetes, Infrastructure as Code, CI/CD automation, observability, and cloud modernization.
- Senior DevOps Engineer — MSys Technologies (Oct 2019 – May 2021). Designed cloud infrastructure, CI/CD pipelines, container platforms, and automation frameworks for enterprise customers.
- Software Engineer — Treselle Systems (Mar 2015 – Oct 2019). Started as a trainee and progressed through software engineering roles, building enterprise applications while developing expertise in automation, cloud technologies, and platform engineering.
Expertise
- Cloud Engineering: AWS, Microsoft Azure, Cloud Architecture, Cloud Migration, Landing Zones, Multi-Cloud Strategy, Infrastructure Automation
- Platform Engineering: Internal Developer Platforms, Self-Service Platforms, Platform Automation, Golden Paths, Developer Experience, Kubernetes Platforms
- Artificial Intelligence: Enterprise AI Platforms, LLMOps, RAG, AI Agents, Multi-Agent Systems, Agentic Workflows, MCP, Prompt Engineering, AI Governance
- Data Engineering: Databricks, Snowflake, PySpark, Apache Airflow, dbt, Data Pipelines, Streaming Platforms, Data Lakehouse
- DevOps & Infrastructure: Kubernetes, Docker, Terraform, GitHub Actions, Azure DevOps, Infrastructure as Code, GitOps, CI/CD Automation
- Observability: OpenTelemetry, Prometheus, Grafana, Datadog, Distributed Tracing, Monitoring, Logging, SRE Practices
- Programming: Python, Java, Node.js, SQL, Bash
Certifications
- AWS Certified DevOps Engineer – Professional
- AWS Certified AI Practitioner
- FinOps Foundation – Introduction to FinOps
- Databricks Generative AI Fundamentals
- Google – Introduction to Generative AI
- ISC2 Candidate