Hire Senior Backend Developers.

Hire dedicated backend developers when the data model is non-trivial, when API contracts are consumed by mobile or third parties, when uptime targets are real, or when scale is on the horizon (10k+ users, real-time features, complex billing). A full-stack engineer will ship a working API; a dedicated backend developer will ship one with the right indexes, the right cache invalidation strategy, and observability that catches problems before customers do. The split is most worth it past 3 engineers or when you have a real production load.

Three things separate senior from junior backend work. First, data modeling instinct — a senior knows when a JSONB column is the right choice and when it's a future migration headache, when to denormalize, and when to lean on Postgres extensions. Second, failure-mode thinking — they design retries, idempotency, and graceful degradation before the bug report arrives, not after. Third, observability as default — structured logs, traces, and metrics ship with the feature, not after the 3am page. A senior backend developer turns 'it works' into 'it keeps working at 100x scale.'

Yes — most of our clients are in the US, UK, EU, and Australia. We overlap with East Coast US morning and UK afternoon hours, run async-first with daily standups, and ship in your timezone's calendar. Senior India-based backend developers cost 40–60% less than equivalent senior backend engineers in the US or UK without quality compromise. We've shipped multi-tenant SaaS backends, high-throughput data pipelines, and AI-adjacent infrastructure across all four regions.

TypeScript (Node.js) for stack consistency with frontend. Python for ML-adjacent work, data tooling, or FastAPI products. Go for high-throughput services or when teams have systems engineering experience. We choose by team and problem, not by trend.

REST for most public APIs and simple CRUD. GraphQL when frontend team velocity benefits from query flexibility (mobile apps, complex dashboards). tRPC when frontend and backend share a TypeScript codebase.

Modular monolith first. Microservices later, only when team size or scale forces the split. Premature microservices is the most common architecture mistake we fix.

Forward-only, expand-then-contract for schema changes. Migrations run automatically in CI/CD. Zero-downtime patterns for renames, NOT-NULL additions, and column drops. Backfill jobs are tracked and observable.

Profile first. Most 'API is slow' is a database query (missing index, N+1, expensive serialization). After DB, look at HTTP/network, then CPU. We use APM tools to find the bottleneck before guessing.

Serverless (Vercel Functions, AWS Lambda) for API services with bursty traffic and small footprints. Containers (ECS, Cloud Run) when warm starts matter, when you need long-running connections, or when serverless cold starts are unacceptable.

For most roles, within 5–10 business days from the intro call. We pre-qualify our bench so onboarding is contracts and access — not a hiring search.

Yes — every engagement starts with a mutual NDA and a clean IP assignment clause. All work product is your property the moment it's written.

Our team primarily operates in IST with 4–6 hours of overlap with US Pacific, full overlap with EU, and full overlap with AU East. We commit to overlap windows in writing.

There is no long lock-in. The first two weeks are a no-risk trial: if a developer is not the right fit, we replace them at no cost or you walk away owing only for work delivered. After that, engagements are month-to-month with 30 days notice — you are never trapped in a contract, and your code, accounts, and IP are always yours.