High-Scale Real-Time Messaging and Encrypted Chat Infrastructure
High-scale real-time encrypted messaging system with WebSockets, Kafka, and E2EE
Engineered a distributed real-time messaging platform supporting high-concurrency instant chat, channels, media delivery, and WebRTC calling. Built stateful connection gateways in Go and Node.js, backed by Apache Kafka for queueing, Redis Pub/Sub for inter-node routing, and Signal Protocol Double Ratchet End-to-End Encryption (E2EE).
Engineering team structure and leadership.
How the engineering organization was structured, staffed across disciplines, and directed through delivery.
Go and Node.js stateful WebSocket gateways, Kafka queuing, and Redis Pub/Sub routing
iOS and Android mobile clients, offline delta synchronization, and encrypted local SQLite
Real-time web client, instant chat interface, channels, and persistent socket state
Chat workflows, conversation threads, WebRTC calling screens, and design systems
Kubernetes scaling, TURN/STUN WebRTC infrastructure, edge proxies, and monitoring
Stress testing, connection drop recovery, E2EE verification, and automated regression suites
Feature roadmap, protocol specifications, sprint execution, and release sign-offs
Directed the 30-person engineering organization spanning Flutter mobile, web frontend, backend microservices, DevOps, and QA
Architected the stateful connection gateway cluster in Go and Node.js to manage high-concurrency persistent WebSocket sessions
Engineered the routing protocol using Redis Pub/Sub to dispatch messages accurately across distributed gateway instances
Designed message reliability guarantees including monotonic sequence ordering, client ACKs, and delta synchronization on reconnect
Supervised the implementation of the Signal Protocol (Double Ratchet) for client-to-client End-to-End Encryption and ephemeral messaging
Measured operational outcomes.
Concrete reliability benchmarks and performance metrics delivered to production.
Delivery Guarantee
Encryption Standard
Media Pipeline
Routing Scalability
Architectural decisions & implementation.
Target Architecture & Implementation
How the system was designed, structured, and deployed
Architected stateful connection gateways using Go and Node.js with Redis Pub/Sub managing active socket locations across nodes. Implemented monotonic sequence identifiers and an at-least-once delivery protocol with client acknowledgments (ACKs) and delta sync upon reconnection. Queued message delivery pipelines through Apache Kafka, integrated WebRTC for peer-to-peer audio/video calls, and implemented the Signal Protocol (Double Ratchet) for client-to-client E2EE.
System Component & Infrastructure Ledger
Detailed breakdown of runtime dependencies, protocols, and architectural roles
Durable, partitioned message streaming and background processing
Online presence indicators, typing status, and socket routing tables
User profiles, channel access control, and metadata management
End-to-End Encryption and session management
Low-latency peer-to-peer voice and video calls with TURN/STUN fallback
Chunked media attachment uploads
Offline history
Elastic scaling of stateless and stateful service tiers
"Yogesh's architecture solved our biggest challenge: keeping thousands of concurrent encrypted chat streams perfectly synchronized across flaky mobile networks without losing a single message."
Real-Time Communications & Messaging Platform