Do you place engineers with Shopify experience?

Yes, including Shopify Plus and headless Shopify. Liquid, Remix, and custom app development are all in our talent pool. Shopify engineers are among our most requested placements.

Can you help with platform migrations, like moving from Magento to Shopify?

We can staff the engineering side of a migration. Platform migrations are complex: data mapping, SEO preservation, and re-implementing custom functionality: and we'd staff appropriately for the scope.

What about performance optimization for high-traffic storefronts?

This is a real capability. We ask about performance experience during vetting: specifically around Core Web Vitals, caching strategy, and load testing. We can find engineers who've optimized storefronts that do real volume.

E-commerce

Built for the traffic spikes that actually matter.

Storefront performance, catalog systems, checkout flows, and post-purchase infrastructure: by engineers who've seen what happens when things break on Black Friday.

Build Your Team See How It Works

Common pain points

E-commerce engineering has specific failure modes.

Performance under load

A storefront that works fine at 100 concurrent users can fall apart at 10,000. Load testing, caching strategy, and CDN configuration aren't optional for any serious e-commerce operation.

Inventory and order state complexity

Distributed inventory across warehouses, real-time availability, and order state machines that handle cancellations, partial fulfillments, and returns: this is harder to build correctly than it looks.

Checkout conversion is fragile

Every extra second of latency, every unexpected form field, and every payment error costs measurable revenue. Engineers who've optimized checkout flows understand the stakes of each change.

Integration surface is large

ERPs, WMS platforms, 3PLs, shipping carriers, payment gateways, and marketing tools all need to stay in sync. Each integration is a potential point of failure.

What we build

The specific work e-commerce teams need.

5 use cases

Storefront and headless commerce

Next.js storefronts, headless Shopify, Shopify Plus custom development, and commerce composable architectures on platforms like Commercetools and Medusa.

Search and discovery

Elasticsearch, Algolia, and Typesense integrations. Engineers who understand relevance tuning, faceted search, and the difference between keyword and semantic search for product catalogs.

OMS and fulfillment systems

Order management systems, warehouse integrations, 3PL connectors, and carrier label generation. Built to handle split shipments, backorders, and return flows.

Personalization and recommendations

Collaborative filtering, product recommendation engines, and behavioral personalization: either integrated via third-party (Dynamic Yield, Nosto) or built custom.

Data and analytics infrastructure

Event tracking, customer data platforms, and e-commerce analytics pipelines. Engineers who know what data you need to measure CAC, LTV, and conversion funnel health.

AI in this industry

AI-driven personalization, dynamic pricing, and demand forecasting are moving from competitive advantage to baseline expectation in e-commerce. Our engineers building in this space understand the data pipeline requirements that make these models work: clean product catalogs, behavioral event streams, and inventory signals are the real challenge, not the model itself.

Common tech stack