Express Text

Experienced Senior Full Stack Engineer to Build & Backend for Event Ticketing Platform Using Claude Code

Overview

We have the frontend already built in Replit for both user and admin experiences. We are looking for a very experienced software engineer to design, build, and scale a production ready backend for a high concurrency event ticketing platform.

This role is for a true senior engineer who actively uses Claude Code as part of their daily development workflow, understands how to review and harden AI assisted output, and can ship systems that hold up under real world load, QA, and security testing.

This is not a prototype or demo system. This backend must be reliable, scalable, secure, and extremely well documented.

What You Will Be Building

• Backend services for an event ticketing platform

• Multi tenant architecture supporting thousands of organizers and events

• High concurrency purchase and checkout flows

• Secure user, admin, and system level access controls

• Production deployments with secrets management, middleware, and security layers

• Observability, logging, and metrics suitable for QA and load testing

• A thoroughly documented backend that future engineers can onboard into quickly

Core Engineering Requirements

• 10 plus years of professional software engineering experience

• Expert level experience using Claude Code or equivalent AI coding agents in real production workflows

• Deep experience building backends with Node.js

• Strong experience with Supabase and PostgreSQL

• Experience deploying and scaling applications on Vercel

• Proven experience extending existing codebases safely

• Strong API design and database performance fundamentals

• Ability to reason clearly about concurrency, transactions, and failure modes

Scalability and Performance Expectations

The backend must be designed to support:

• Hundreds of thousands of ticket purchases

• Thousands of concurrent users and tenants

• Large traffic spikes during on sale windows

• Load testing across all major latency percentiles including p90, p95, and p99

• Extremely low tail latency under high concurrency

• Graceful degradation and recovery under stress

You should be comfortable designing and implementing caching strategies, queue based workflows, idempotent operations, locking mechanisms, and transactional safety.

Security and Production Readiness

You must be able to:

• Set up production environments with proper secrets management

• Implement middleware for authentication, authorization, and rate limiting

• Design secure communication between frontend and backend

• Apply industry best practices for security hardening

• Prepare the system to pass penetration testing

• Maintain clean separation of concerns and least privilege access

Documentation and Developer Experience Requirements

High quality documentation is a hard requirement for this role.

You must have experience:

• Using AI powered documentation tools to generate and maintain technical documentation

• Producing clear architectural overviews and system diagrams

• Writing detailed README files and onboarding guides

• Documenting APIs, data models, and critical flows

• Keeping documentation in sync with code changes over time

We expect the backend to be easy to understand, easy to extend, and well explained for future engineers.

How We Evaluate Candidates

We are looking for engineers who can demonstrate:

• Real production systems they have built or scaled

• Clear judgment in how they use Claude Code and validate AI generated output

• Strong opinions on production readiness backed by experience

• The ability to move fast without sacrificing quality or safety

A short paid technical task may be used that involves real backend work with production quality code and documentation.

Project Overview

We’re building Express AI, a SaaS platform that allows small and medium-sized businesses (SMBs) to easily train and deploy their own dedicated AI agents for customer service, technical support, sales, and more.

Our vision is to give SMBs the power of enterprise-grade AI without complexity. You’ll help build the core platform that powers this – including agent training interfaces, web deployment, dashboards, and integrations.

Key Responsibilities

• Develop scalable full-stack features using modern JavaScript frameworks

• Build and maintain AI agent training modules (upload docs, FAQs, tone settings)

• Integrate OpenAI, Whisper, LangChain, and other LLM APIs

• Implement user-facing dashboards for chat/voices/social/email agent monitoring

• Design multi-tenant systems with admin-level controls

• Ensure reliability and scalability of the platform as we grow

Tech Stack

• Frontend: React.js, Next.js, TypeScript

• Backend: Node.js, Express, MongoDB (or Postgres), Redis

• AI & NLP: OpenAI API (ChatGPT, Whisper), LangChain, Python (optional)

• DevOps: Docker, AWS or GCP (basic familiarity okay)

• Other: WebSockets for real-time chat, REST APIs, Git

Role Type

• Full Stack Developer (preferred)

• Frontend or Backend specialists also considered, but must be willing to collaborate on both sides

Experience Level

• 3 to 6 years of professional experience

• Previous work with SaaS platforms, AI tools, or multi-tenant architecture is a big plus

Must-Have Skills

• Proficiency in JavaScript/TypeScript

• Strong experience with React.js and Node.js

• Experience working with REST APIs and building secure web apps

• Solid understanding of cloud deployment (AWS/GCP/Firebase)

• Ability to work independently, self-manage, and deliver in a fast-paced environment

Nice-to-Have Skills

• Familiarity with LangChain, OpenAI, AI agent frameworks

• Experience with voice/chat integration

• Prior experience building tools for SMBs or customer support systems

Engagement Type

• Full-time (preferred) or part-time with clear weekly availability

• Remote (India-based candidates only)

Why Join Us?

• Work on a cutting-edge AI platform solving real problems for real businesses

• Fast-moving, no-red-tape team environment

• Build something that will impact millions of small businesses globally