Full Stack Engineer

ABOUT OUR CLIENT Our client is a New York City marketplace for flexible space. Founded in 2016 and independently funded, they let creatives and companies book spaces by the hour for productions, offsite meetings, private and corporate events, and fashion showrooms, with concierge service handling the details. On the other side of the marketplace, they let private homeowners and corporate landlords monetize their spaces without touching the reservation process themselves. That means they run a two-sided operation. Bookings, venue availability and operational requirements on one side. Space owners, Casa Managers, vendors and contractors on the other. Between them sits a sales pipeline, invoicing and payments, and a lot of coordination. They are a small team of designers, producers and industry experts. Decisions are made quickly, and the person in this role will work directly with the CEO and the operations team. THE ROLE You will be the technical owner of how the company's systems fit together: the database that becomes the source of truth, the integrations that keep the platforms in sync, the web applications and dashboards the business runs on, and the infrastructure underneath them. You will also decide, with them, where AI genuinely helps and where it does not. This is a hands-on role with a wide surface. You will not be handed a backlog. You will interview the people doing the work, find out what is actually happening, and propose what to fix first. WHAT YOU WILL DO • Integrations and data sync. Keep Zendesk, ClickUp and our internal systems in sync, and replace manual and scattered automations with reliable, maintainable code. • Database and data integrity. Rebuild our database as the operational source of truth, audit the data and the processes feeding it, and keep it accurate, consistent and monitored. • Web applications and dashboards. Build the applications and dashboards the business runs on, from the ground up. • Infrastructure and security. Deploy, secure, back up and operate everything you build. • AI integration. Put AI models into real operational workflows where they add measurable value, and improve our internal AI agent. • Process and documentation. Map how the business actually works, propose what to automate next, and document it in English. EXPERIENCE & WORKING STYLE • 3 to 5 years of professional experience building and operating web applications in production, with demonstrated ownership of what you shipped. • Advanced English, spoken and written, at a level that supports stakeholder interviews, technical explanations to non-technical people, and written documentation. • A track record of working independently on systems with limited supervision, and of prioritizing work by business impact. TECH STACK Where a group lists several technologies, experience with any one of them, or a comparable equivalent, is what counts. MVC FRAMEWORK AdonisJS NestJS Laravel Any one of these or similar. JavaScript frameworks preferred, Laravel a close second. DATABASE PostgreSQL ORM Schema design Keys & constraints Indexes Migrations Query optimization PostgreSQL specifically. Experience with another relational database plus willingness to work in PostgreSQL is acceptable. FRONT END React Edge Blade Any one of these or similar. React preferred. AUTH & ACCESS CONTROL OAuth 2.0 JWT Session auth RBAC SERVERS Linux VPS Docker DigitalOcean AWS Any cloud provider or VPS host is fine. DEPLOYMENT CI/CD GitHub Actions GitLab CI Rollback Git Any CI/CD platform or similar. CACHE & QUEUE BACKEND Redis Queue drivers BACKUPS pg_dump pg_basebackup WAL archiving S3 offsite storage Tested restores S3 or any equivalent offsite storage. SECURITY TLS / SSL Secret management Environment variables Least privilege Input validation Dependency management OBSERVABILITY Sentry Structured logging Log rotation Uptime monitoring Sentry or any equivalent error tracking tool. INTEGRATIONS PLATFORM APIS Zendesk API ClickUp API Hands-on experience with one or both is required. API TECHNOLOGIES REST OAuth 2.0 API key auth Pagination Rate limiting JSON payloads Error handling Retries WEBHOOKS Inbound Outbound Signature validation Idempotent processing Replay handling ASYNC PROCESSING Queues Jobs Listeners Workers Job schedulers Cron Retries with backoff Dead letter queues DATA HANDLING Field mapping Transformation Normalization Deduplication Conflict resolution Source of truth AI PROVIDER APIS OpenAI Anthropic Google Any major provider. Direct API integration, not chat interfaces or wrappers. REQUEST MODES Chat completions Single request / response Streaming Server-sent events stream: true Delta chunk handling Partial rendering STRUCTURED OUTPUT JSON mode Schema-constrained output Function calling Tool use FINE TUNING Dataset preparation Training runs Model evaluation OPERATIONAL CONCERNS Token & context management Cost control Timeouts Rate limits Output validation STRONGLY PREFERRED None of these are dealbreakers. In each group, experience with any one of the technologies listed, or something comparable, is what we are looking for. ARCHITECTURE Multi-tenant design Tenant isolation Scoped data access ADMIN PANELS AdminJS Filament OPERATIONS PLATFORMS Zendesk ClickUp Both, rather than one. NO-CODE AUTOMATION Make n8n Zapier Enough to read and replace existing scenarios. BACKEND PLATFORMS Supabase Serverless functions ANALYTICS ON POSTGRESQL Views Materialized views KPI dashboards APPLIED AI Embeddings Vector search AI agents Tool orchestration BACKGROUND Sole or first technical hire ACADEMIC BACKGROUND • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Information Technology or a related technical field. • Equivalent hands-on experience is accepted in place of a formal degree. PROFILES THAT WOULD NOT BE A FIT • A prompt engineer whose experience with AI is limited to chat interfaces. • A front-end or web developer with no experience in business systems, databases or integrations. • An automation specialist who has only built simple trigger-and-action scenarios in no-code tools. • A database administrator who does not want to work with operational processes and application integrations. • A senior enterprise architect whose focus is too specialized for a hands-on role. • An engineer who expects a defined backlog and a platform team behind them.