Solutions Engineer

Satellite Office; Pasig; Remote; PHP 3,750,000 - 5,625,000; Full time

Job summary

Satellite Office, a US-based fintech platform serving institutional investors, brokers, and corporate IR teams, seeks a capable support engineer in a remote role. You'll work with a senior engineer from day one, handling tier-2 client issues and tracing root causes in logs and data.

You will debug at the log level (Datadog), read JSON, and follow C#/.NET or TS/React code to diagnose problems. Expect daily screen-shares, English-speaking interactions, and a schedule overlapping US Eastern Time.

Qualifications

• 2–4 years in a technical, client-facing role (support engineering, solutions engineering, implementation, or QA).
• Comfortable debugging at the log level (Datadog), reading JSON/data values, and following C#/.NET or TypeScript/React code enough to find the cause.
• Confidence presenting over screen-share in clear spoken English to business and technical audiences.
• A genuinely curious streak — you want to know why.

Responsibilities

• 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 escape issues that cross systems or hit multiple clients.

Skills

Technical support

Log debugging

Datadog

C#/.NET

TypeScript/React

English communication

AI tooling usage

Tools

JSON data reading

API tracing

Job description

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.

What You'll Do

• 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 escape issues that cross systems or hit multiple clients

What You'll Bring

• 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

What's In It For You

• 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

Ready to trade scripted support for real investigation?