Rahul Kumarasamy
Technology Manager (Cloud Infra & Devops) @Publicis Sapient
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WORK HISTORY
Technology Manager (Cloud Infra & Devops) @Publicis Sapient
London, GB
Defined and owned the architecture of large-scale enterprise-grade multi-cloud (AWS/Azure/GCP) Gen-AI platforms enabling Kubernetes including GPU workloads, and data platforms supporting multi-account environment with strong focus on automation, security, availability, reliability, performance, and compliance.• Led a distributed engineering team of 20+ engineers, driving platform engineering standards and delivery excellence supporting product ecosystem of 120+ APIs.• Designed compute and Data Lake / streaming platforms using AWS (SageMaker, AWS Glue, Lambda, DynamoDB, Redshift, S3), GCP(GKE, BigQuery, Dataflow, Cloud Functions, Pub/Sub), Databricks, Kafka and other cloud services.• Delivered Infrastructure as Code and policy-as-code (OPA) across 90+ cloud services in AWS, Azure and GCP enabling consistent and compliant platform deployments.• Strengthened enterprise cloud security posture using STRIDE - API endpoint security, workload protection, WAF, SSL, MTLS, Istio and CSPM/CNAPP platforms (Wiz), reducing multi-cloud attack surfaces.• Built and evolved enterprise DevSecOps pipelines embedding SAST, DAST, SCA, container scanning, SBOM, secrets management, quality gates, governance, guardrails, cloud auditing to achieve higher degree of security compliance.• Optimised multi-region GPU utilisation on GKE and EKS, reducing monthly infrastructure spend by 35% while supporting 50+ concurrent training jobs, automated model retraining upon data drift detection using Kubeflow seamless model migration.• Delivered MLOps platforms using Kubernetes, enabled GenAI and LLM workload by designing platforms to support scalable model training and inference workloads.• Implemented end-to-end observability using ELK, Prometheus, Grafana, and cloud native monitoring framework reducing MTTR significantly through proactive monitoring.• Achieved significant cost optimisation by rightsizing infrastructure, Kubernetes node pools, and FinOps budget across AWS and Azure.
EDUCATION
Anna University Chennai
Bachelor of Engineering (B.E.), Mechanical Engineering
ABOUT RAHUL KUMARASAMY
Extensive expertise in Platform Engineering and DevOps across multi-cloud environments (AWS, GCP, Azure). Proficient in IT infrastructure provisioning, automation and security, with hands-on experience. Skilled in cloud architecture, managing, performance, deployment and IT infrastructure automation, alongside compute and Datalake and Data Pipeline solutions. Experienced in Big Data technologies including Hadoop, EMR, Data Lake and Machine Learning- AWS & GCPCertified Solutions Architect - Professional- Cloud Platforms: AWS, GCP, Azure- DevOps Automation: Ansible, Terraform- Deployment Tools: Jenkins, Octopus, GitLab, GoCD, Spinnaker, Argo- CI/CD & Release Management: Jenkins, GitLab, Git Service Hooks- Virtualisation/Containerisation: Docker, Kubernetes, Helm, Istio- Markup/Scripting Languages: HTML, CSS, JavaScript, JQuery- Web/App Servers: Nginx, Apache, WebLogic, SAP Hybris- Monitoring Tools: Cloud-Native, Dynatrace, Grafana, Prometheus, Wiz(CNAPP- SIEM/CSPM/DSPM)- Build Tools: Maven, Ant, Yarn, Poetry- Programming Languages: Shell, Python, Java, J2EE- Frameworks: Struts, Hibernate, Flask, Django- Centralized Log Management: ELK, Graylog- Big Data: EMR, Hadoop, Spark, Datalake & Warehouse, ETL, ELT, Data Mesh/Lineage/Contracts/Governance- Analytics: Databricks, Athena
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