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.
What You'll Do
- 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
What We're Looking For
- 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
Nice To Have
- 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
Skills Required
- 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
- Hands-on experience with cloud infrastructure: serverless/managed compute, object storage, secret management, scheduled jobs
- Maintain and evolve auth and authorization across Firebase, Auth0, and Firestore security rules
- Manage multi-cloud integrations across GCP (BigQuery, Cloud Functions, Firestore, Cloud Storage) and AWS (S3)
- Familiarity with eventual consistency and cache invalidation patterns in distributed systems
- Proficient in agentic development — building or integrating LLM-powered workflows or AI agents in production
- High bar for testing, observability, and reliability; instrument and own production behavior
- Comfortable reading and modifying unfamiliar production codebases safely (archaeology)
- Experience with React and modern frontend architecture patterns
- Firebase platform experience: Cloud Functions, Firestore, Authentication
- GCP and/or AWS production experience; 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
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers. Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better. Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
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