Senior Software Engineer (Rust)

About the role

About the Role:

We’re looking for a Senior Software Engineer, ideally specializing in Rust, to lead the evolution of our backend platform and tooling. This role will focus on developing and maintaining critical Rust-based tools and infrastructure which could bring Tubi to its next era.

In this role, you’ll 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.

We’re particularly interested in engineers excited to learn and integrate AI-powered coding tools (e.g., Claude Code, Cursor) into their daily workflow to boost velocity and code quality. Prior experience with such tools is a plus.

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:

- 4+ years of backend software development experience, including 1+ 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.

- Experience working with AI tools to enhance software engineering workflows is a plus

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.

High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco