Manikandan Kaliyaperumal is a seasoned software engineering leader with over 23 years of experience in architecting, designing, and deploying scalable, highly available, distributed systems. He specializes in cloud-native architectures across single, hybrid, and multi-cloud environments, with extensive expertise in Kubernetes, containers, API-first microservices, and enterprise platform engineering.
Currently serving as a Staff Cloud Platform Engineer at Fiserv Inc (Clover Network), Manikandan leads platform engineering and control-plane services powering a Kubernetes-based unified cloud platform. He enables more than 100 microservices to deploy and scale reliably through standardized platform APIs and a self-service internal developer platform, while driving cloud optimization initiatives that achieved approximately 20% cost reduction.
Previously, he served as a Technical Architect at Hexaware Technologies (supporting Fidelity Investments), where he worked on unified authorization architecture, OPA policy engine design on AWS EKS, and secure cloud infrastructure for institutional platforms. At Roche, he held the role of Enterprise Architect, defining enterprise standards and reference architectures for cloud and edge computing, designing managed Kubernetes platforms, and contributing to the AI/ML infrastructure strategy, including the development of a GenAI code-assist copilot on Azure.
Earlier in his career, Manikandan led large-scale API platform and microservices modernization initiatives at organizations including Broadcom/CA Technologies, Equinix (US and APAC), IBM, PayPal, Yahoo, MasterCard, Citibank, and others. His experience spans API gateways (Apigee, Kong, WSO2), IAM and security protocols (OAuth2, OIDC, SAML, PingFederate), DevOps and SRE practices, real-time data platforms (Kafka, Spark), and multi-cloud platforms including AWS, Azure, and GCP.
He holds a Bachelor of Engineering in Mechanical & Production Engineering from Annamalai University, Tamil Nadu, India.
Manikandan brings deep expertise in cloud-first, API-first, and AI-first architecture, with hands-on proficiency in Java, Python, Go, and modern distributed systems technologies.