Act as a full stack "seed" within your team — champion full stack practices, mentor peers, and help scale AI-augmented development across the organization
Design and manage Java (Spring Boot) back-end services to ingest, process, and analyze high-frequency data streams from rack sensors, intelligent PDUs, environmental probes, and DCIM/BMS enterprise systems.
Use AI-powered tools (Cursor, GitHub Copilot, ChatGPT, Claude, etc.) to support cross-stack frontend development — read, debug, and modify iOS/Web codebases
Demonstrable payment processing and clearing knowledge especially data mapping and modelling to support triaging issues raised in development and production
Use AI coding assistants throughout the development lifecycle — for scaffolding, code generation, test writing, and code review — while retaining full ownership of architecture, correctness, and security of the final output
You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.