Backend MVP in 60 Days
I build production-grade backend MVPs on Node.js, NestJS, PostgreSQL and Redis in about 60 days: authentication, integrations, queues and monitoring included. The RealStream AI media platform went from first commit to a production system scheduling thousands of concurrent jobs in exactly 60 days.
What you get
- Architecture decision record: stack, boundaries, and the risks you accept on purpose
- Working MVP on NestJS + PostgreSQL + Redis with CI and automated deploys
- Queues and background jobs with defined retry and timeout policy (BullMQ)
- Monitoring and alerting wired before launch, not after the first incident
- Documentation that lets your next hire on-board in days, not weeks
How it runs
Week 1 — scope the system, not a feature list
We map the real constraints: expected load, failure tolerance, budget, and the assumptions that can kill the project. You get a written architecture plan and a delivery schedule you can hold me to.
Weeks 2–8 — build in vertical slices
Every week ends with a deployable increment in production-like environment. No 60-day silence followed by a big reveal; you watch the system grow and can change course early.
Weeks 9–9.5 — hardening and handover
Load testing, failure drills (kill a worker mid-job and watch it recover), monitoring dashboards, runbook. Handover session recorded so your team owns the system, not me.
Case studies behind this service
FAQ
Why 60 days — is that realistic for a backend MVP?
For a well-scoped backend, yes: RealStream went from first commit to production-scale MVP in 60 days on this exact process. The 60-day mark assumes you or someone on your side makes decisions weekly and the scope survives a written plan. A freeform feature list is what makes MVPs take six months.
What stack do you use for backend MVPs?
Node.js and NestJS with PostgreSQL and Redis — the combination behind RealStream's thousands of concurrent jobs. It covers authentication, payments, queues, and real-time features without exotic infrastructure. If your product lives elsewhere (Python, PHP/Symfony), I say so upfront instead of forcing this stack.
Do you also build the frontend?
Yes — React and Next.js when the product needs it. Most MVP engagements are 70% backend and API, 30% customer-facing web app. The split depends on what your users touch first; we decide week 1 from the usage flows, not from my convenience.
Further reading
- NestJS + BullMQ at ScaleI shipped an event-driven NestJS + BullMQ pipeline to production in 60 days. What actually breaks first at scale: retry storms, lost jobs, queue starvation, and the fixes that hold.
- Production AI Agents in Node.jsAn AI demo is a notebook; a production agent is a distributed system. The architecture, cost controls, and failure modes I learned shipping an AI orchestration platform that runs thousands of concurrent jobs.
Who you work with
Eugene Zaiko
Eugene Zaiko is a senior full-stack engineer (5+ years, ex-PixelPlex, Syberry, Linnovate) specializing in event-driven backends, PostgreSQL at scale, and production AI systems. No account managers: you talk directly to the engineer whose fingerprints are on the code.