About You:
You're a software engineer first. You spent years building and scaling production systems before LLMs made it easy, and a big part of that time was on database, data platform, or infra problems, not a one-year detour. You've since gone deep on AI: agents, tool use, structured outputs, retrieval, memory. You know where a schema, a rule, or a small model beats a prompt, and you don't ship coding-agent output you can't explain.
You're opinionated about structure. When the team wants to ship a recent definition of a field that already exists, you're the one who says "no, we use the canonical one, here's why." You're comfortable being the person who slows things down for the right reasons, and you explain your reasoning well enough that people start thinking that way themselves.
You want to stay deep in the technical work rather than move into pure management. You're happy juggling several products at once without a roadmap handed to you, and you give and take blunt technical feedback without it becoming a thing.
You Will:




• Own the data architecture and software infrastructure across all internal GTM apps. That means schema design, object modeling, access patterns, and the path from raw source to what an agent or user reads.
• Design our data system for scale. Every app keeps metadata ledgers recording the history behind its data: who did what, where a lead came from, what an agent changed. Agents read these ledgers. You'll decide what lives in hot storage and what goes to low-cost cold storage, and how it stays queryable for debugging and audit.
• Bridge R&D.; Take systems built fast in R&D; and re-architect to reconfigure whatever doesn't fit infrastructure’s constraints. You'll be the quality gate for what goes to production.
• Design for scale before it hurts. That includes caching layers, indexing and quick read paths, streaming and queueing instead of hammering the DB, and event-driven agent runs instead of nightly crons. You'll keep an active eye on latency,

📌 Staff Engineer, Data Architecture (India)
🏢 Fello
📍 India