Ameya.
I build and scale cloud-native systems
Software engineer with 12+ years of experience as an individual contributor — designing microservice backends, event-driven workflows, and data platforms on Azure and AWS.
I am a software engineer with 12+ years of experience as an individual contributor, currently at Kangarootime in Buffalo, NY. I work across product teams delivering microservice-based software backed by Kafka, with a focus on backend systems, event-driven architecture, and data platforms.
Over my career I have taken solutions from design to production on both Azure and AWS — from serverless mass-mailing infrastructure and high-throughput RESTful and GraphQL APIs to configuration-driven ETL pipelines and Kubernetes-hosted services. I care about observability, iterative delivery measured by outcomes, and infrastructure as code.
Technologies I work with regularly:Stabilized a high-risk, high-visibility startup initiative within four months of joining, increased internal service level objectives to 99%, and enabling the successful delivery of key business milestones.
Currently serving as an individual contributor across multiple product teams, designing and delivering microservice-based solutions powered by Kafka, improving system scalability by over 50% in certain scenarios.
Owned the architecture, deployment, and operational reliability of Kubernetes-based applications in AWS, achieving 99.999% uptime while reducing infrastructure costs
Enhanced observability across services by implementing centralized logging using azure insights and log analytics with focus on mean time to detect (MTTD) and mean time to resolution (MTTR).
Streamlined delivery of analytic reports enabling data science team
Engineered and maintained .NET-based backend services and GraphQL BFFs supporting enrollment workflows across web and mobile applications.
Worked across multiple teams using a Kanban approach to achieve Objectives measured by Key Results (OKRs).