Naveen Kamrudeen

• Led a $2M multi-cloud TechPubs initiative, leveraging AWS, Azure GovCloud, and Honeywell private cloud platforms to improve system reliability by 30% and scalability by 40% through advanced cloud-native strategies.
• Managed a cross-functional team of 10 engineers and architects across geographies, implementing Agile methodologies (SAFe, Scrum) and innovation frameworks to enhance customer satisfaction scores by 10%.
• Oversaw the migration of 25+ Aero applications to Azure GovCloud and AWS, employing containerization and automated CI/CD DevSecOps pipelines to achieve a 20% reduction in operational costs and improved service availability.
• Developed a Container as a Service (CaaS) platform on Azure GovCloud using Kubernetes and Helm / Kustomize, streamlining deployment processes to cut deployment times by 50%.
• Built and optimized Azure DevOps pipelines for AKS cluster provisioning, leveraging Terraform to reduce provisioning time by 25% while ensuring scalability and compliance.
• Led the migration of enterprise applications from PCF to AKS, achieving a 40% increase in performance and a 35% enhancement in scalability through advanced orchestration and monitoring tools (Prometheus, Grafana).
• Implemented GitOps workflows using Argo CD, streamlining application deployment processes and improving consistency across multi-cloud environments, reducing deployment errors by 30%.
• Formulated a long-term cloud strategy integrating hybrid and multi-cloud architectures, reducing costs by 25% and improving performance and operational agility using CI/CD frameworks and cloud governance tools.
• Designed and implemented a Retrieval-Augmented Generation (RAG) system with LangChain and Azure OpenAI GenAI, streamlining AI-driven insights for real-time data analysis and cloud service optimization.
• Implemented Site Reliability Engineering (SRE) best practices using Prometheus and Grafana, improving system reliability by 25%, performance by 30%, and scalability across multi-cloud environments.

• Designed and executed a multi-cloud migration strategy across Google Cloud and Azure, leveraging Kubernetes and Terraform to achieve a 20% cost reduction and a 15% performance improvement.
• Led a multi-cluster Istio proof-of-concept to optimize service mesh implementations, improving application observability and security, and enhancing project efficiency by 10%.
• Directed a multi-cloud proof-of-concept on Google Anthos and Tanzu Mission Control, enabling seamless deployment across Azure and Google Cloud while reducing deployment complexities by 20%.
• Evaluated and adopted cutting-edge cloud technologies, including Anthos and AKS, leading to a 30% improvement in resource utilization and $500K in annual cost savings.

• Optimized customer S3 storage configurations by implementing lifecycle policies and data tiering, achieving $100K monthly savings and maximizing return on investment (ROI).
• Led the migration of Tier-1 monolithic applications to AWS EKS using containerization and CI/CD pipelines, ensuring 100% uptime and improved deployment efficiency.
• Migrated a high-throughput application processing over 1M messages hourly to AWS Kafka, achieving a 30% increase in throughput and 25% reduction in latency for a leading media and entertainment company.
• Conducted AWS Well-Architected Framework reviews, focusing on reliability, security, and cost optimization, reducing infrastructure failure risks by 20%.
• Collaborated with the Big Data Technical Field Community (TFC) to share expertise and develop best practices for big data solutions, enhancing technical innovation across AWS customers.

• Led a team of 15 architects to implement enterprise-wide cloud adoption on AMEX Private PaaS Platform, leveraging RedHat OpenShift, OpenStack and Ansible to achieve a 25% reduction in operational costs.
• Architected the Next Generation Card Authorization System (NEMO/CAS) using Couchbase, Apache Ignite, Kafka, Redis and RedHat OpenShift, enabling seamless processing of 2 billion transactions daily with 99.99% uptime.
• Developed a private PaaS platform with Red Hat OpenShift, deploying 20,000 containers across four clusters with a CI/CD pipeline that improved deployment speed by 40% and ensured 99.9% reliability.
• Designed Kafka-based backends for NEMO (Network Modernization), enabling real-time processing of 1 billion transactions daily and powering services like AMEX Pay with Points and fraud detection with 99.9% system reliability.
• Implemented microservices architecture with SpringBoot, Vert.x, RESTful APIs, and SOA, increasing system modularity and reducing development cycles by 30%.
• Led the migration of 200+ legacy applications to microservices, utilizing Docker and OpenShift to achieve 40% cost savings and a 30% improvement in performance.
• Created the Enterprise Cloud strategy for AMEX PaaS, focusing on hybrid cloud adoption, cost efficiency, and ensuring alignment with business objectives.
• Developed a CI/CD DevSecOps pipeline using Jenkins, XL Release, Spinnaker, SonarQube, and Zap, improving feature delivery velocity by 50% and enhancing customer retention rates by 15%.
• Architected and automated asset discovery using iQuate, identifying and managing over 40,000 servers, improving asset visibility and tracking by 80%.

• Led the evaluation and selection of Safeway's next-generation public cloud platform, collaborating with stakeholders to deliver a scalable and cost-effective solution aligned with organizational goals.
• Analyzed cloud platform options, including AWS and Azure, recommending a hybrid solution that reduced infrastructure costs by 30% and improved scalability.
• Established a Salesforce Governance Model Center of Excellence (CoE), defining best practices and improving platform adoption by 25% across departments.
• Implemented a CI/CD pipeline using Jenkins, enhancing feature delivery velocity by 50% and reducing deployment errors by 30%.

Arizona State University
M.S. Information Management
June 2012 - May 2013

Bangalore University
B.E. Computer Science
September 1992 - June 1996