Sid G

About Sid G

I build reliable cloud-native platforms that help AI and data teams move faster with…

Experience

1. Senior Platform Engineer (Cloud Software Engineer)

   SLB

   Sep 2022 — Present · TX, US

   Contributing to the modernization of SLB’s global Data Science Platform, with a focus on containerization, automation, observability, and AI enablement across Azure, GCP, and AWS environments. My work spans platform reliability, CI/CD engineering, GitOps and the integration of emerging AI capabilities into enterprise infrastructure for several global energy companies as well as National Oil Company (NOC) clients. Designed and implemented container image lifecycles and GitOps pipelines using ArgoCD and Azure DevOps, enabling repeatable, zero-downtime deployments. Built and maintained OpenTelemetry-based monitoring and Promtail log pipelines, improving system visibility and reducing incident resolution time. Integrated Retrieval-Augmented Generation (RAG) and Generative AI (GenAI) frameworks securely into production workloads, enabling intelligent search and context-aware automation within SLB’s data ecosystem. Led upgrade and migration efforts for multi-tenant Dataiku environments, ensuring stability and version consistency across clouds. Mentored engineers in Kubernetes operations, observability practices, and automation; authored internal wikis and platform playbooks adopted across teams. Collaborated with software, AI, and DevOps teams to optimize cloud cost, reliability, and performance—balancing innovation with operational discipline.Tech stack: Azure Kubernetes Service (AKS), GCP GKE, AWS EKS, Docker, ArgoCD, Azure DevOps, GitOps, Python, Linux, OpenTelemetry, Promtail, Dataiku

Education

• Indian Institute of Technology, Roorkee

  Bachelor of Science

• University of West Georgia

  Master of Science

• Texas Tech University

  PhD