About The Role

Join Samba TV's Product Engineering team as a Senior Software Engineer (Full Stack). You will own features and systems across the stack, from web frontends to backend services, data pipelines, and cloud infrastructure. You will write and maintain analytical SQL, design and operate data pipelines, and manage multi-cloud integrations. You will also participate in architecture reviews, contribute to the technical roadmap, and mentor junior engineers. Enjoy benefits such as health coverage, wellness perks, company equity plan, volunteer days, flexible time off, and team events.

Posséder des fonctionnalités de bout en bout, y compris les interfaces frontend, les services backend et les API, les modèles de données et l'infrastructure qui les exécute.
Écrire et maintenir des SQL analytiques sur de grands ensembles de données (BigQuery) ; comprendre le domaine suffisamment pour étendre correctement la logique de mesure.
Concevoir et exploiter des pipelines de données et des couches de mise en cache qui se situent entre les données brutes et la surface du produit.
Familiarity with eventual consistency and cache invalidation patterns in distributed systems
Hands-on experience with cloud infrastructure: serverless or managed compute, object storage, secret management, scheduled jobs
Comfortable writing non-trivial SQL — window functions, aggregations, query optimization; BigQuery or similar analytical datastore experience a plus
Comfortable doing archaeology in production codebases — reading unfamiliar code, identifying live vs. legacy paths, and making safe changes
Strong command of TypeScript or JavaScript across frontend and backend
5–8 years of experience building and operating production software
Experience building backend services and APIs — RESTful design, authentication patterns, token-based auth flows
Proficient in agentic development — building or integrating LLM-powered workflows, tool-use patterns, or AI agents in production
Firebase platform experience: Cloud Functions, Firestore, Authentication
GCP and/or AWS in production; comfort across both is a strong plus
Background in ad tech, audience measurement, or CTV/OTT platforms
Exposure to ad measurement concepts: reach, frequency, attribution, exposure modeling
Experience with React and modern frontend architecture patterns

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