Work Experience — Biswajit Nath

Professional experience: Staff Software Engineer I at Securonix India Pvt. Ltd, Sr. Software Engineer at Securonix India Pvt. Ltd, Software Engineer at Securonix India Pvt. Ltd, Sr. UI/UX Developer at Monet Networks Inc, UI/UX Developer at Monet Networks Inc.

Staff Software Engineer I at Securonix India Pvt. Ltd

Promoted to Staff Software Engineer I, contributing to platform-wide technical direction and participating in cross-team architectural decisions for the core SIEM platform. Setting engineering standards, participating in design reviews, and mentoring senior engineers across the platform.

Skills: Java, Spring Boot, Solr, Snowflake, Kafka, Spark, Microservices, System Design, AWS, REST APIs, CI/CD

Sr. Software Engineer at Securonix India Pvt. Ltd

Led feature development for the SIEM platform's search and analytics modules, owning technical design and delivery for cross-functional feature teams. Drove architecture proposals, won company hackathon with AI tool shipped to production, and mentored junior engineers while delivering high-availability systems at scale.

Skills: Java, JavaScript, Solr, Grails, MySQL, Snowflake, Kafka, GPT-4, REST APIs

Software Engineer at Securonix India Pvt. Ltd

Core contributor on the SIEM platform — owned the incident search and storage layer ingesting 1M+ events/second across distributed infrastructure. Implemented Kafka consumers, Solr indexing pipelines, and Snowflake ETL jobs powering real-time and historical security analytics.

Skills: Java, JavaScript, Solr, Grails, MySQL, Snowflake, Kafka, Spark, REST APIs, Linux

Sr. UI/UX Developer at Monet Networks Inc

Promoted to Sr. UI/UX Developer, leading the design and development of the AI-based emotion application. Oversaw frontend development and mentored team members.

Skills: JavaScript, Angular, TypeScript, Node.js, React, Adobe XD

UI/UX Developer at Monet Networks Inc

Joined as UI/UX Developer, collaborating with cross-functional teams to build intuitive interfaces. Contributed to the AI-based emotion capture application frontend.

Skills: JavaScript, Angular, TypeScript, Node.js, Adobe XD