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About the role Every clinic that joins us arrives with years of data exported from a legacy on-premise practice management system. You will write and maintain the parsers and importers that get that data into our platform — completely, correctly, and provably. The pipeline is straightforward: source exports land in S3, source-specific parsers transform them into a clean intermediate "master" format, and importers load the master files into the clinic's database. The hard part is the data itself — undocumented columns, inconsistent formats, contradictory records, and ledgers that have to balance to the cent. Key responsibilities Write parsers that turn each source system's CSV export into our master format: patients, appointments, notes, treatments, invoices, payments, recalls and the rest Run conversions for new clinics: parse, import, reconcile, fix, re-run Make importers idempotent and re-runnable, safe to execute again after a partial failure Build reconciliation checks that prove record counts and ledger balances match the source Improve the tooling so each conversion is faster than the last About you Strong production Ruby experience Strong SQL, comfortable beyond ActiveRecord Experience parsing and transforming messy real-world data at volume — CSV, fixed-width, undocumented vendor exports The patience to keep pulling the thread until the numbers reconcile, and the honesty to say when they don't Testing discipline with RSpec — this is patient and financial data; we cannot silently corrupt it Excellent written English — we work asynchronously Based in Malaysia with daily overlap into Australian Eastern time About us We build a cloud practice management platform for healthcare clinics in Australia.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.