Senior Software Engineer, Internal Tools

Tubi; Toronto; Hybrid; CAD 137,000 - 196,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive plan

Medical/dental/vision insurance

Vacation / paid time off

Flexible Time Off

Parental Leave Program

Wellness reimbursement

Job summary

Tubi’s Internal Tools team is seeking an engineer who will own systems end to end — from design to production. You will lead projects, set technical direction, and collaborate with users to translate real-world learnings into robust platforms.

You’ll design service boundaries, ensure production reliability, and drive cost-conscious, AI-enabled improvements. Ideal candidates have 5+ years building production systems, strong skills in statically typed languages, and a track record of owning

Qualifications

• 5+ years of professional experience building and operating production systems.
• Ability to walk through an end-to-end system design including boundaries and constraints.
• Proficiency in statically typed languages (Rust/Go/C++/Java/Kotlin/C#/TypeScript).
• Experience owning a service in production, including runbooks and cost awareness.
• Experience designing systems with stable interfaces and schema evolution.
• Experience leading cross-functional projects and collaborating with partners.
• Experience using AI-assisted development tools with sound engineering judgment.
• Bachelor’s or Master’s degree in a technical field, or equivalent experience.

Responsibilities

• Own systems end to end — design, build, and production support.
• Lead projects, sequence work, and set technical direction.
• Engage with users of what you build and translate insights into design.
• Define service boundaries, contracts, and schema evolution.
• Improve AI production systems with evaluation harnesses, approvals, retries, and cost tracking.
• Build common components and libraries and mentor peers.
• Identify platform work and build it to raise team capability.

Skills

Rust

Go

C++

Java

TypeScript

System design

Production systems

AI tooling

Education

Bachelor’s or Master’s in a technical field

Tools

CI/CD tooling

Monitoring & observability

Job description

About the Team:

Tubi’s Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure.

What You’ll Do:

• Own systems end to end — design them, build them, and support them in production.
• Lead the projects you own: sequence the work, decide what lands first, and set technical direction for the engineers working with you.
• Sit with the people who use what you build, and turn what you learn there into a system.
• Design the service boundaries, contracts and schema evolution that let our platforms grow without breaking the teams depending on them.
• Make our AI systems dependable in production: evaluation harnesses, human approval steps before an agent acts, retries that handle a model returning something unexpected, and cost tracking that tells you what a task costs before you run it.
• Build what other engineers build on — agent skills, tool and MCP integrations, shared libraries — and raise the bar through code review, design discussion and mentoring.
• Spot the platform work nobody has asked for yet, make the case for it, and build it.

Your Background:

• 5+ years of professional experience building and operating production systems, from design through production ownership.
• A system you designed and can walk us through end to end — where its boundaries sit, what constrained it, and what you chose against.
• Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement.
• You have owned a service in production: you wrote the runbooks, you knew what it cost, and you were the one paged when it broke.
• Experience designing systems that other teams integrate with — stable interfaces, schema evolution, and not breaking your consumers.
• Experience leading a project that other engineers contributed to, and communicating effectively with cross-functional partners.
• Proven ability to leverage AI-assisted development tools, with sound technical judgment when reviewing AI-generated output for correctness, security, and maintainability.
• Bachelor’s or Master’s degree in a technical field, or equivalent industry experience.

Nice to Have:

• Production Rust, or a systems background you are looking to apply to it.
• Data or measurement systems where getting the numbers right was the hard part.
• LLM and agent plumbing: tool and MCP integrations, evaluation harnesses, multi-model orchestration, cost control at volume.
• Internal platform or developer-experience work: systems other engineers build on rather than end-user features.

The AI Mandate

Tubi expects engineers at all levels to leverage AI tools (Claude Code, Codex, Cursor, MCP integrations) to accelerate delivery, testing, and documentation. On this team it goes further: much of what we build is the machinery that lets other people delegate their work to AI safely. You don’t need to arrive as an AI expert, but you do need to develop deep fluency quickly and apply it with production-grade discipline:

• Trust Engineering: Building systems where people can progressively delegate to AI, and where the blast radius is contained when AI is wrong.
• AI as Leverage: Treating AI as a force multiplier for a small team, so that what you build measurably expands what the team can accomplish.
• Cost Discipline: Treating AI spend as an engineering problem — optimizing for accuracy per dollar, not accuracy alone.
• Pragmatic Adoption: Evaluating new capabilities with a builder’s eye — what to use now, what’s hype, and what to wait for.

#LI-SL4

#LI-Hybrid

Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as 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, vacation/paid time off and other benefits in accordance with applicable plan documents.

Toronto, Canada

$137,200—$196,000 CAD

Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:

For all salaried employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time Off Policy to manage all personal matters.

For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave (top up in Canada) within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi.

For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

About Tubi:

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.

We are an equal opportunity employer and 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 for employment qualified applicants with criminal histories consistent with applicable law.