Cloud Architectures, Steaming Data Pipeline for Analytics, Cloud Native Micro Services, Solutions Architecture using key AWS Technologies, Terraform Automation, Email Security/ DLP Data Ingestion and Query Services, Docker and Kubernetes, Message and Stream Processing, Search Indexing Frameworks

• Architected, designed, and developed a distributed systems software for managing data platform developed to run AI and analytics and other data intensive workloads.

• Designed and implemented several critical services like API Server, Service discovery, Authentication, Metering, Configuration Management, MapR JSON DB API, Chargeback Manager and Cluster Administration.

• Build log and metrics monitoring framework for clusters using ELK stack, batch and real time processors by collecting and analyzing data from a variety of data sources.

• Responsible for writing multi-cloud toolkit and developed cloud adaptors to support VMware, AWS and Azure environments.

• Designed and implemented backend services using REST APIs to manage L4-L7 network services like software-based load balancer, routers, firewalls and monitoring network layers, provisioning cloud resources, configuration management, lifecycle operations etc.,

• Implemented CRUD operations, pagination, sorting and filters to query data efficiently from MongoDB.

• Developed build tools, performance tools, infrastructure automation, cloud connectors and other toolkits for improving engineering productivity.

• Developed and maintained a comprehensive automation framework and SDK’s for VMkernel teams.

• Collaborated with the development teams to integrate automation tests with the CI/CD pipelines accelerating frequency releases and enhancing overall product quality.

• Identified and implemented process improvements to optimize team productivity. Participated in technical interview panel & university career fairs to help recruit strong engineers for the company.