Staff Engineer - API & Data // The BOXOFFICE COMPANY

WEBEDIA GMBH
Berlin, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Berlin, Germany

Tech stack

API
Artificial Intelligence
Google BigQuery
Cloud Computing
Code Review
Databases
Identity and Access Management
PostgreSQL
Query Optimization
TypeScript
Web Services
Data Logging
Google Cloud Platform
Data Ingestion
React
Backend
Google Cloud Functions
Front End Software Development
Data Pipelines

Job description

We build the data and software backbone of the cinema industry: showtimes, ticketing flows, and box office intelligence powering products used across studios, exhibitors, and millions of moviegoers worldwide. We sit at the intersection of large-scale data pipelines, consumer-facing APIs, and AI-powered tooling - and we're looking for a staff engineer to join us., You will join the Data business unit as the first hire on the new Discovery team. The team owns critical APIs and services on Google Cloud, with a TypeScript backend on PostgreSQL and a frontend built in React and TanStack. The first phase of your work will be backend-heavy - designing services, modeling data, optimizing queries, building event-driven workflows - but the role is fullstack by design: as projects evolve, you're also expected to contribute to product features end-to-end, including the frontend layers that will distribute and showcase our data. We're hiring a staff engineer because we want someone who can take ownership of architectural decisions, push back when needed, mentor others, and move fast without breaking what matters.

What you'll work on

  • Design and operate production TypeScript APIs serving high-traffic cinema products: exhibitor websites, mobile apps, online ticketing, showtimes listing, and business intelligence dashboards
  • Design and implement new data ingestion mechanisms
  • Model and evolve PostgreSQL schemas for complex domains
  • Build on GCP-native primitives: Cloud Run, Cloud Scheduler, Eventarc, BigQuery, Cloud Logging, Pub/Sub
  • Contribute to event-driven and agent-based systems, including AI-powered features built on our proprietary data
  • Shape technical decisions through RFCs and code reviews, and mentor mid-level engineers, * Autonomy by default. You own your scope. We trust senior engineers to make calls and document the why.
  • We invest in keeping the stack current - dependencies, patterns, internal libraries. You won't inherit a decade of accumulated debt.
  • AI-native engineering. We invest seriously in AI-assisted development and believe in the accelerating factors it provides.
  • RFCs over meetings. Important decisions are written down and debated openly.
  • Pragmatism over hype. We build for the next 5 years, not the next demo.

Requirements

Do you have experience in TypeScript?, * 6+ years building production backend systems, with deep TypeScript/Node.js expertise

  • Strong PostgreSQL skills: schema design, query optimization, migrations, transactional thinking
  • Hands-on experience with GCP (or comparable cloud) - Cloud Run, BigQuery, IAM, networking
  • Comfort with the fullstack mindset: you can own a feature from the database to the UI when needed. Familiarity with React and TanStack is a strong plus
  • Solid engineering fundamentals: testing, observability, security, performance

Benefits & conditions

  • Flexible work arrangement - remote, hybrid, or on-site, to be discussed based on your situation. We're a multi-country organization and the team is spread between Europe and North America.
  • Working language: English (written and spoken).
  • Full-time permanent contract (CDI)

About the company

The Boxoffice Company is a worldwide technology and data organization dedicated to powering entertainment globally. Through its Source platform, The Boxoffice Company serves as the definitive showtimes data provider for the world's largest search and discovery platforms - including Google, Bing, IMDb, and others - reaching 90% of global internet audiences across 70 countries in 25 languages.

Apply for this position