Senior Software Engineer, Full Stack

ABOUT THE ROLE

Samba TV's Product Engineering team builds the software that puts our data to work — customer-facing platforms, internal tooling, and the APIs and services that connect them. Our engineers own meaningful systems end-to-end, ship production code every week, and work directly with product, data science, and go-to-market teams to deliver outcomes that matter.

As a Senior Full Stack Engineer, you will own features and systems across the stack — from web frontends to backend services, data pipelines, and cloud infrastructure. The backend work here is not just CRUD: it spans analytical SQL over large-scale TV viewership datasets, Firestore-backed caching pipelines, a multi-cloud environment (GCP and AWS), and a non-trivial auth model. We care about engineers who think in systems, take ownership of correctness and reliability, and are comfortable doing the archaeology that real production codebases require.

Own features end-to-end — frontend interfaces, backend services and APIs, data models, and the infrastructure that runs them

Write and maintain analytical SQL over large-scale datasets (BigQuery); understand the domain well enough to extend measurement logic correctly

Design and operate data pipelines and caching layers that sit between raw data and the product surface

Maintain and evolve the auth and authorization model across Firebase, Auth0, and Firestore security rules

Manage multi-cloud integrations across GCP (BigQuery, Cloud Functions, Firestore, Cloud Storage) and AWS (S3)

Hold a high bar for testing, observability, and reliability — you instrument what you ship and own its behavior in production

Participate in architecture reviews, contribute to the technical roadmap, and mentor junior engineers

5–8 years of experience building and operating production software

Strong command of TypeScript or JavaScript across frontend and backend

Experience building backend services and APIs — RESTful design, authentication patterns, token-based auth flows

Comfortable writing non-trivial SQL — window functions, aggregations, query optimization; BigQuery or similar analytical datastore experience a plus

Hands-on experience with cloud infrastructure: serverless or managed compute, object storage, secret management, scheduled jobs

Familiarity with eventual consistency and cache invalidation patterns in distributed systems

Proficient in agentic development — building or integrating LLM-powered workflows, tool-use patterns, or AI agents in production

Comfortable doing archaeology in production codebases — reading unfamiliar code, identifying live vs. legacy paths, and making safe changes

Experience with React and modern frontend architecture patterns

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