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About GoCharting GoCharting is a web-native charting and trading workflow platform with institutional-grade orderflow and DOM tools footprint/cluster charts, volume/market profile, cumulative delta, imbalance charts, DOM trading. We are the only platform that delivers these capabilities fully on the web. Comparable to TradingView for general charting, but differentiated as the leader in the professional orderflow niche. PE-acquired and funded in 2025, profitable, 3M+ registered traders globally, with a mandate to scale 10x over 4 years. The Role GoCharting's moat is its real-time market data and the breadth of brokers and exchanges we connect. That surface is also our single biggest infrastructure concern and the top driver of customer complaints data accuracy and feed reliability. You will work directly alongside the CTO to widen and harden it: connect more brokers and exchanges, keep the feeds clean and reliable, and build the data pipelines and APIs that everything on the platform is built on. This is a hands-on backend and data-engineering role. You will live in broker APIs and exchange feeds, database and pipeline work, and the unglamorous discipline of cleaning and normalizing financial data so that the chart a trader sees is correct. We need someone who has worked with financial/market data before who understands its structure, its types, and exactly where it goes wrong and who can take ownership and run with it from day one. You report to the CTO inside Core Platform Engineering. In year one, success looks like more brokers and exchanges connected, measurably more reliable and accurate feeds, and data pipelines that scale with the business. What you'll do Build and own broker & exchange integrations authentication/OAuth, connection health, instrument/symbol mapping, and account sync across our broker roster (nine Indian brokers, US futures brokers, and more) so we can connect as many as possible, reliablyBuild and maintain the market-data pipelines real-time tick ingestion, aggregation into bars/OHLC across timeframes, snapshots, and historical backfill, feeding live charts, DOM, and orderflowOwn data quality and feed reliability normalize and clean dirty/inconsistent vendor data, detect gaps and lag, alert on feed health, and drive down the data-accuracy complaints that hurt our reputationModel the data symbols, exchanges, contract specs, trading hours, and the differences between markets (e.g. Indian vs US session handling), and the exchange/data-fee structures tied to feedsBuild and maintain the APIs and connections the services and contracts that deliver data to the terminal and to partners, with sensible rate-limits and entitlement checksKeep the lights on and the data honest instrument the pipeline, find the root cause of freezes and feed gaps, and close them, in lockstep with the CTO and Support What we're looking for Must-haves: 58 years backend / data engineering, strong in Go (or strongly adjacent systems language with the ability to ramp on Go fast)You have worked with financial / market data before ticks, OHLC, order book, corporate actions and you understand its structure, types, and the ways it goes wrong (gaps, bad prints, timezones, splits, symbology)Strong data-pipeline / ETL and API-integration skills you've built ingestion, transformation, and delivery pipelines and integrated third-party APIs that you owned end-to-endDatabase and SQL rigor, with real data-cleaning and normalization discipline you make messy external data trustworthyCan own it and run from day one high autonomy, comfortable in a lean team working directly with the CTOIn-person in our Chennai office Nice-to-haves: Prior experience inside a broker, exchange, or market-data vendor backendReal-time / streaming infrastructure WebSocket, message queues, time-series storageFIX or other market-data/connectivity protocols; DOM / orderflow / tick-data exposureFamiliarity with Indian (NSE/MCX/SEBI) and US (CME) market structureWorking English plus Hindi or Tamil for local exchange/broker counterpartsTop-tier Indian institution (IIT/NIT/IIM) nice-to-have, not a gate Logistics Location Chennai, India in-person (office-based) Employment type Full-Time Entity ProCharting Pvt Ltd (India) Travel Light occasional broker/exchange and team meetings Start date ASAP Reports to Ragunath Ramaswamy, CTO (Core Platform Engineering) .
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.