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Satellite Office
Outsourcing & Offshoring
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You'd be joining a fast-growing, US-based fintech platform used by institutional investors, brokers, and corporate IR teams — together managing tens of trillions of dollars in assets — to run their meetings, events, and the data behind them. You'll work directly with a senior engineer from day one, taking tier-2 client issues from "something's wrong" to a diagnosed, explained root cause.
Dig into support tickets and client calls to find out what's actually going wrong, not just what the client assumes
Trace issues through logs, traces, and underlying data down to the code
Demo the platform live to show clients how to configure it for their exact workflow
Use AI tools daily to move faster through code and data than manual digging alone
Turn recurring headaches into permanent fixes instead of repeat tickets
Write clean tickets and documentation so nothing gets lost in translation
Flag and escalate issues that cross systems or hit multiple clients
2–4 years in a technical, client-facing role — support engineering, solutions engineering, implementation, or QA
Comfortable debugging at the log level (e.g., Datadog), reading JSON/data values, and following C#/.NET or TypeScript/React code far enough to find the cause
Confidence presenting over screen-share, in clear spoken English, to business and technical audiences alike
A genuinely curious streak — you want to know why
You already use AI tools as part of how you work
A flexible schedule with at least 4–5 hours of daily overlap with US Eastern Time
Work directly with senior engineering leadership from day one — no layers between you and real ownership
A genuine growth path: start in the ticket queue, graduate into leading your own investigations, reviewed at first, then trusted to run solo
High-visibility work on a platform trusted by firms managing tens of trillions in assets
Real flexibility on hours — not a buzzword, an actual confirmed policy
AI tooling as a core part of your daily workflow, not an afterthought
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