Jayasurya S

Lead Backend Engineer / Associate Vice President (Head of Engineering)

Talent

BengaluruMember since May 26, 2026

JavaPythonSpring BootFastAPIRedisState ManagementMongoDBAzureAKSAWSKubernetesOrchestrationMulti-Agent OrchestrationLangGraphModel Context ProtocolMCPComputer Vision

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JavaPythonSpring BootFastAPIRedis

About

A result-oriented Software Development Engineer possessing approximately two years of experience in the design, scalability, and architecture of distributed systems and production-level Agentic AI pipelines within the B2B SaaS sector. Proficient in developing low-latency, resilient architectures utilizing Java (Spring Boot) and Python (FastAPI). Demonstrated expertise in managing concurrency, architecting clustered database and messaging layers, and deploying multi-agent orchestration (LangGraph, MCP) integrated with advanced memory and session management, as well as computer vision model integration.

Recognized for professional growth from SDE-1 to Lead Backend Engineer through the consistent delivery of high-throughput, zero-downtime distributed environments.

Experience

Lead Backend Engineer / Associate Vice President (Head of Engineering) at Mediafirewall (2024-07 – 2026-04)

Agentic Orchestration: Designed and deployed a production-grade Agentic AI Matchmaking System leveraging RAG-based flows, Model Context Protocol (MCP), and customized long-term session memory.
System Optimization & Scale: Architected and developed a proprietary, low-latency Facial Verification Engine using FastAPI, Redis, and Computer Vision, completely migrating the platform off third-party cloud APIs (AWS Rekognition) to reduce feature-specific operational cloud costs by 70% while scaling throughput to sustain 10,000+ daily API calls.
Cloud Native Infrastructure: Led the migration of core services to Azure Kubernetes Service (AKS) for scaling, and drove a full-scale cloud migration from AWS to Azure for all storage and other services.
High Availability & Concurrency: Designed highly available clusters for database(MongoDB Cluster) and messaging layers(Kafka CLuster), and resolved critical MongoDB concurrency exceptions by implementing a Redis state management layer.
Performance & Reliability: Optimized system performance to handle 1000+ RPM high-load tests with zero data loss, reducing MTTR by 95% via automated health-monitoring and real-time alerting.
High Availability: Enforced strict architectural practices to ensure 100% system stability and zero production downtime over the final 6 consecutive months of operations.