Ecommerce development in New York
New York's fashion and direct-to-consumer brands sell through more channels than their systems were built for: the online store, a flagship or a pop-up, wholesale accounts and a marketplace or two. Each has its own idea of stock. Offers, loyalty tiers and discount codes run through several apps at once, so nobody can say with confidence what a given customer will pay, and a drop that sells out online can still oversell in the shop.
We start by tracing where each price and each stock figure on the storefront comes from, and which app last changed it. Then we give stock one source, synced to the store, the shop and the warehouse with retries and a record of every change, and bring offers into rules the merchandising team can read. The checkout is load-tested before the drop, not during it. We build on Shopify or headless, from the integration and payments work we do every day, and on the call we will be specific about how that applies to your store.
Most software bought in New York is bought by companies that do not think of themselves as software companies. Banks, insurers, asset managers, publishers, agencies, fashion houses and property firms all run on systems that sit beside the real business: a client portal, a pricing engine, a reconciliation job, a content pipeline. Those systems rarely start from nothing. They connect to a vendor platform, a core system older than the team, and a folder of spreadsheets someone updates by hand, and the brief is usually to make all three agree.
What those companies need built follows the industry. Asset managers and insurers need client portals where a family office sees two funds and not a third, and overnight jobs that reconcile custodian, market data and order feeds before the market opens. Publishers and ad-tech firms need event pipelines whose delivery numbers agree across vendors, and front ends that stay fast under the ad stack. Property firms need apps for technicians working in basements with no signal. And founders who left one of these industries need a first version in front of a pilot customer before the interest cools.
Hiring is the constraint. Engineers here are courted by banks, big tech offices and funded start-ups at the same time, and Built In puts the average software engineer base salary in the city at about $160,000 before bonus. The shape this produces is a small in-house team that keeps the core systems running, and behind it a list of well-defined projects that nobody on that team will reach this year. That list is where we are useful: each project is a defined piece of work, it starts with a fixed-price two-week piece, and the code belongs to you from the first commit.
We are in Bengaluru and move our working day for New York. Four hours of every working day overlap with your morning in Eastern time, stand-up included, so decisions and code review happen live with the engineer who writes the code. Runbooks and architecture notes are written as we go, so your in-house team can run what we build long after the project is finished.
We are the right fit for the defined projects your in-house team is too stretched to reach this year: a client portal, a reconciliation job, an event pipeline, a first version for a pilot customer. Senior capacity starts within days, the first piece is a fixed-price two-week engagement, and agencies can ship the work under their own name.
Four ways this arrives.
The ERP updates overnight, the store sells all day, and by morning the two do not match. We build the sync as a queue with retries and reconciliation, decide which system wins for each field, and alert on drift before a customer buys stock you do not have.
Or checkout slows until people give up. We cache what can be cached at the edge, keep live stock checks off the browsing path, load-test the shape of a real launch rather than a steady trickle, and queue anything that cannot scale.
Bundles, B2B price lists, subscriptions, delivery rules by postcode. We build it as a custom Shopify app or with Shopify Functions and checkout extensions so it survives platform updates, or tell you when you have outgrown the theme altogether.
Payment webhooks can arrive twice, late or out of order, and the handler trusts every one. We make order state follow the provider's record, process Stripe and Razorpay events idempotently, and reconcile daily so a mismatch is a report, not a complaint.
An hourly sync with a third-party system reachable only through its API, with values normalised at the boundary so unchanged records stop looking changed.
Read the write-up →Asked by New York teams.
How do you work with teams in New York?+
We are in Bengaluru and move our working day for New York, so four hours of every working day overlap with your morning in Eastern time, stand-up included. Calls, reviews and decisions happen in that window, and the rest of the conversation runs in your tools: Slack, GitHub, Linear. The person on every call is the engineer who writes your code, and the code sits in your repositories from the first commit.
Do you build for New York financial firms?+
Yes. The work is usually the systems beside the trading or underwriting desk: overnight jobs that reconcile custodian, market data and order feeds before the open, client portals where investors, brokers and their accountants each see exactly what they should, and internal tools that replace a pricing or renewals workbook only one person understands. We build them to be idempotent and traceable, so every figure can be followed back to the file it came from.
How does your rate compare to hiring in New York?+
Built In puts the average software engineer base salary in New York City at about $160,000, before bonus and benefits. Our published rate is $35/hour, or $5,400 a month for an embedded engineer, with a $5,000 minimum. There is no recruiting time and no employment overhead, and work starts within days of the call. The first piece is a fixed-price two-week engagement at $2,800, so you judge us on working code.
Can you take over a system another vendor built?+
Yes. In New York that is often a client portal or an internal tool built by an agency that has since moved on, with nobody in-house who knows how it runs. We start by reading the code and running it, then write down how it works and where it is fragile before changing anything. A good first two-week piece makes the riskiest part safe and leaves your team runbooks it can use.
Have you built a store like ours?+
We build stores from the parts of commerce that usually go wrong, and those are what we work on every day: syncing with a third-party system that only speaks through its API, handling webhooks that arrive twice, and background jobs that must not lose or repeat work. On a call we will walk you through how that applies to your store.
Shopify, headless, or fully custom?+
Start with Shopify if a theme and a few apps cover you; that is cheaper than anything we would build. Go headless when the storefront must do things a theme cannot, or share a front end with other products. Build on Medusa or commercetools when the catalogue, pricing or order flow is genuinely unusual. Most stores never need the third option, and we will say so.
Can you connect our ERP or warehouse system?+
Usually, if it has an API or can export files on a schedule. We start by agreeing which system owns each field, such as stock, price and order status, because most sync bugs come from two systems both believing they are the source of truth. Then we build the sync with retries, a log of every change, and a daily reconciliation report.
Which payment providers do you work with?+
Stripe, Razorpay, and Shopify Payments when the store runs on Shopify. Choose the one that suits your markets and fees; we earn nothing from any of them. The work that matters is the same for all three: treat the provider as the record of what was paid, handle every webhook idempotently, and test refunds and partial captures, not only the happy path.
How do you prepare for a sale or a launch?+
We load-test the whole journey, from landing page to paid order, at the traffic you expect and beyond it. We find what breaks first, which is usually a third-party script, an uncached page or the stock check, and fix it before the day. During the sale itself, the engineer who did that work is watching the dashboards with you.