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Tubi TV

Staff Software Engineer, Rust

Tubi TV, San Francisco, California, United States, 94199

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Overview

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. About the Team

Were building a new Rust backend engineering team to help to build and maintain the growing Rust apps and tools to support Tubis business. About the Role

Were looking for a

Staff Software Engineer specializing in Rust

to lead the evolution of our backend platform and tooling. This role will focus on developing and maintaining critical Rust-based systems such as Argos (our in-house serverless load testing platform, which have supported the success of Super Bowl), the internal data firewall, and other tools that improve our platforms robustness, compliance, and developer experience. In this role, youll architect and implement high-performance, secure, and scalable systems, collaborating closely with teams focused on compliance, privacy, experimentation, and infrastructure. You should be comfortable working independently across system boundaries and mentoring engineers while driving technical strategy. Were particularly interested in engineers excited to learn and integrate

AI-powered coding tools (e.g., Cursor, Copilot)

into their daily workflow to boost velocity and code quality. Prior experience with such tools is a plus. This is a hybrid role based in our San Francisco office. What You'll Do Lead the design, development, and maintenance of Rust services and tools Collaborate with other backend & client teams to deliver high performance & scalable components/services Design and optimize systems for reliability, observability, and scale, with an emphasis on clean APIs and modular components Explore and integrate AI-based development tools into engineering workflows; evangelize productivity best practices within the team Partner with engineering leadership and cross-functional partners to drive technical vision and influence roadmap decisions Mentor engineers and foster a culture of technical rigor, curiosity, and continuous learning

Your Background

7+ years of backend software development experience, including 3+ years using

Rust

in production environments Solid experience with Rust common stack, including but not limited to Tokio, Axum, Tonic, Hyper, Bytes, Serde, Tracing, etc. Experience with pingora stack is a big plus Deep understanding of distributed systems, event-driven architectures, and performance engineering Experience with cloud-native technologies (e.g., Kubernetes, gRPC, CDN, S3, Terraform) and modern observability stacks Familiarity with relational and non-relational databases (e.g., PostgreSQL, DynamoDB, Redis, Clickhouse, etc.) Strong alignment with engineering craftsmanship testing, documentation, reliability, and performance optimization Enthusiasm for using and experimenting with

AI tools to enhance software engineering workflows

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. Locations: California; New York City; Westchester County, NY; Seattle, WA $181,000 - $259,000 USD Equal Employment Opportunity

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider applicants with criminal histories consistent with applicable law. #J-18808-Ljbffr