Hussain Rana — Senior Software Engineer

Senior Software Engineer — Qualys Gen AI and MCP server A coding agent client will be able to interact with ELK stack via mcp server so that the dev manual efforts for debugging complex production issue or gathering certain log analytics will be done with just certain prompts. truRisk API Platform Built and scaled a multi-tenant microservice from 10 → 10,000+ enterprise customers, using Redis caching, async processing, and API optimizations that delivered 35% faster response times. High-Scale Event-Driven Microservice (50–60M req/day) Designed a Kafka-based event-driven microservice processing 50–60 million API calls/day. Integrated with Apache Ignite (distributed cache cluster) — each production node with 78 GB memory, 20 GB heap — for ultra-low-latency processing. Architecture: Web node exposes REST APIs → pushes incoming requests to Kafka (non-blocking). Ignite cluster consumes events → uses partition-aware routing to distribute workload efficiently. Achieved horizontal scalability and near real-time processing at massive throughput. Platform Modernization & Architectural Improvements Consolidated multiple backend services into a multi-module architecture, reducing release management time by 20% and maintenance costs by 10%. Refactored legacy modules into domain-driven microservices, enabling independent deployment & improved scalability. Upgraded a legacy Spring Boot service from JDK 8 → 17, improving startup time, performance, and overall security posture. Improved Threat Feed API processing time from 10 minutes → 100 ms through architecture redesign and data pipeline optimization. Achieved zero critical CVEs by remediating vulnerabilities identified via Black Duck. Team Leadership Mentored 2 new joiners and 2 junior engineers, forming a production support pod and reducing feature delivery timelines by 25%. Tech Stack: Java, Spring Boot, Kafka, Elasticsearch, Redis, Apache Ignite, Kubernetes, Docker, Oracle DB, Consul, CI/CD, Prometheus Senior Software Engineer — Alepo Technologies Pvt. Ltd. Developed a WhatsApp messaging integration using Twilio + WSO2 for a 200,000-subscriber telecom client; productized into CRM → increased sales opportunities by 15%. Improved database performance by 30% by implementing MySQL table partitioning and optimizing slow-running queries. Proposed and implemented source code optimizations that increased overall system throughput of a large monolithic BSS platform. Tech Stack: Java, Liferay, JSP, HTML/CSS, JavaScript, MySQL

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

Location: Pune, Maharashtra, India

Experience: 8 yrs 6 mos