Senior Software Engineer, Backend

Tubi•San Francisco, CA

2d•Hybrid

About The Position

Tubi's Core Experience Backend team is responsible for building the high-performance, secure, and scalable systems that power our business. We have built disaster-resilient systems to ensure Tubi APIs continue to perform even under extreme traffic conditions. Our team and services have delivered seamless operations for massive events such as the Super Bowl and World Cup while consistently delivering a great experience to our viewers. On this team, you will participate in major campaigns, contribute to our critical backend services, support multiple platforms, and play a key role in shaping and refining the overall backend architecture. This is a hybrid role based out of our SF office. You must be willing to travel to our SF office two days/week.

Requirements

Experience in Elixir or strong background in other backend or functional programming languages
Familiarity with gRPC/Protocol Buffers, RESTful API design, Kubernetes, and observability solutions
Experience designing distributed systems with clean APIs and modular components
System design and architecture skills with emphasis on reliability and performance
Experience with continuous delivery of software systems

Nice To Haves

Rust programming experience
Extensive experience with Elixir in production environments
Familiarity with Pingora or Nginx
Hands-on experience with Kubernetes

Responsibilities

Design and implement high-performance backend services in Elixir
Architect and evolve microservices and distributed systems in Kubernetes.
Optimize systems for scale, resilience, observability, and security
Collaborate with cross-functional teams to deliver pragmatic solutions to complex problems
Explore and integrate AI-based development tools into daily workflows
Work across service boundaries, own critical architecture/service design, and help evolve Tubi's backend system.
Using AI-assisted coding tools (Claude Code, Cursor, etc.) to accelerate development while maintaining rigorous standards for correctness, security, and performance.
Explore how AI can assist in system design, performance tuning, and anomaly detection across Tubi’s distributed backend.
Prototype and integrate AI-powered optimizations that improve throughput, reduce latency, and detect inefficiencies in large-scale microservice architectures.
Contribute to internal tools and platforms that use AI to improve the daily developer workflow, ranging from automated code reviews and test generation to smarter observability dashboards.
Help evolve Tubi’s backend development culture into an AI-native practice.