Raghunath Manyam
Behavioral · STAR-at-scale

Stories

One story per principle: ambiguity navigated, a bet that paid off, a bet that didn't, the hardest technical decision I've owned, and the time I grew someone. Each piece is the version I'd tell in a behavioral loop — context, scope, the call I made, and the number that came out.

  1. Ambiguity navigated

    When the rules had no owner

    The hard part of a rating-engine re-platform isn't the engine — it's that nobody in the building can tell you what the rules are. The path forward isn't a spec. It's a chair next to the actuary.

  2. Bet that paid off

    Caching for correctness, not speed

    Every outside reviewer told me to scale the database. I bet the cache was load-bearing for the contract — not just the latency — and that's why it worked.

  3. Bet I almost made

    The job-per-table bet I almost made

    I spent two weeks defending the obvious design before I noticed I was the one defending it. The real failure wasn't the architecture — it was how long I waited to change my mind.

  4. Hardest tech decision

    When the cache becomes the contract

    Moving the source of truth from Aurora to DynamoDB for a regulated workflow is the kind of decision that looks reckless on a whiteboard. The wrong call would have shipped duplicate clearances against real customer money.

  5. Time you grew someone

    The shift from triage to root cause

    The fastest way to grow an operations engineer isn't a training plan. It's to stop rewarding the work that keeps them stuck.