Mayank Verma Email & Phone Number | Who am I? - Tech leader with a startup mindset, leading the team ensuring the reliability and availability of Sling middleware backend. What do I do? - Staff Software Engineer and Architect, leading a team of 8-10 engineers. What Kind of Application Do I Work On? - I lead a critical client middleware backend app, the "gut" of the system, using Go, GRPC, MongoDB, DynamoDB, and Amazon Keyspace. Scale of the Backend App - Per Minute: ~480K operations - Per Second: ~177K operations Key Initiatives and Impacts - Dynamic UI Updates: Designed Event-Driven Architecture for dynamic UI updates, saving 10K monthly. Tech Stack: Golang, GRPC, DynamoDB, AWS Lambda, Kafka, Websocket/SSE. - Authentication Flow Improvements: Switched JWT to RSA, added rate limiting, and HCaptcha integration for security and resiliency. - Database Migrations: Led migrations reducing OPEX by 93%, latency by 80%, and improving cache hit rate by 90%. - Cluster Failover Implementation: Developed Route53 failover policies, enhancing system resiliency. - Push Architecture Implementation: Shifted to a push-based model, reducing external load by ~90%. - Breaking Monolith Presentation Layer: Strategized transition to domain layers, implementing Server-Driven UI (SDUI) for better deployment and error management. Databases and Caches - Databases: MongoDB, DynamoDB, Amazon Keyspace - Caches: Amazon Elasticache (with and without Global Datastore), Redis Enterprise (Active-Active) Event-Driven Architecture (EDA) - Use EDA for microservice communication, like UI updates based on game extensions detected via Kafka. Deployment Platform - Kubernetes with Argo CD Programming Paradigms - Functional, Procedural, Pair Programming Responsibilities - Lead team from planning to delivery, reduce tech debt, improve backend reliability, and collaborate on cross-functional projects. - Plan and estimate tasks, focus on performance, chaos testing, ROI. - Mentor engineers. FinOps - Led migrations to Amazon Keyspace, MongoDB, and Redis, reducing costs. - Optimized cluster size with time-based autoscaling. - Implemented pagination, EDA updates, and CDN to reduce backend load. Chaos Engineering - Promoted Chaos Engineering; transitioned from Gremlin to Harness. Deployment Process - Leveraged GitLab and Jenkins pipelines; migrating to Graviton with a multi-node Kubernetes setup.

Mayank Verma

Who am I? - Tech leader with a startup mindset, leading the team ensuring the reliability and avai...
Bengaluru, Karnataka, India

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Mayank Verma’s Email mayank.verma@boostmobile.com

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Mayank Verma’s Location Bengaluru, Karnataka, India

Mayank Verma’s Current Industry Dish Network Technologies

Mayank Verma’s Prior Industry Grofers | Practo | Sony India Software Centre Bangalore

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Work Experience

Dish Network Technologies

Staff Software Engineer

2017-09-01T00:00:00.000Z - Present

Grofers

Software Engineer

2016-06-01T00:00:00.000Z - 2017-04-01T00:00:00.000Z

Practo

Software Engineer

2015-04-01T00:00:00.000Z - 2016-06-01T00:00:00.000Z

Sony India Software Centre Bangalore

Software Developer

2012-07-01T00:00:00.000Z - 2015-04-01T00:00:00.000Z

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FAQ About Mayank Verma

Mayank Verma is located at
Bengaluru, Karnataka, India

Mayank Verma is a Who am I? - Tech leader with a startup mindset, leading the team ensuring the reliability and availability of Sling middleware backend. What do I do? - Staff Software Engineer and Architect, leading a team of 8-10 engineers. What Kind of Application Do I Work On? - I lead a critical client middleware backend app, the "gut" of the system, using Go, GRPC, MongoDB, DynamoDB, and Amazon Keyspace. Scale of the Backend App - Per Minute: ~480K operations - Per Second: ~177K operations Key Initiatives and Impacts - Dynamic UI Updates: Designed Event-Driven Architecture for dynamic UI updates, saving 10K monthly. Tech Stack: Golang, GRPC, DynamoDB, AWS Lambda, Kafka, Websocket/SSE. - Authentication Flow Improvements: Switched JWT to RSA, added rate limiting, and HCaptcha integration for security and resiliency. - Database Migrations: Led migrations reducing OPEX by 93%, latency by 80%, and improving cache hit rate by 90%. - Cluster Failover Implementation: Developed Route53 failover policies, enhancing system resiliency. - Push Architecture Implementation: Shifted to a push-based model, reducing external load by ~90%. - Breaking Monolith Presentation Layer: Strategized transition to domain layers, implementing Server-Driven UI (SDUI) for better deployment and error management. Databases and Caches - Databases: MongoDB, DynamoDB, Amazon Keyspace - Caches: Amazon Elasticache (with and without Global Datastore), Redis Enterprise (Active-Active) Event-Driven Architecture (EDA) - Use EDA for microservice communication, like UI updates based on game extensions detected via Kafka. Deployment Platform - Kubernetes with Argo CD Programming Paradigms - Functional, Procedural, Pair Programming Responsibilities - Lead team from planning to delivery, reduce tech debt, improve backend reliability, and collaborate on cross-functional projects. - Plan and estimate tasks, focus on performance, chaos testing, ROI. - Mentor engineers. FinOps - Led migrations to Amazon Keyspace, MongoDB, and Redis, reducing costs. - Optimized cluster size with time-based autoscaling. - Implemented pagination, EDA updates, and CDN to reduce backend load. Chaos Engineering - Promoted Chaos Engineering; transitioned from Gremlin to Harness. Deployment Process - Leveraged GitLab and Jenkins pipelines; migrating to Graviton with a multi-node Kubernetes setup.