Senior Software Engineer, Full Stack

Samba • San Francisco, CA

4d • $160,000 - $200,000

About The Position

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.

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.

Requirements

• 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 Haves

• 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

Responsibilities

• 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

Benefits

• health insurance
• wellness offerings
• life and disability insurance
• a retirement savings plan
• paid holidays and paid time off (PTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed