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Senior Software Engineer, Internal Tools
Tubi - Canada
Toronto, ON
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…

Tubi - Canada

Senior Software Engineer, Internal Tools

Toronto, ON, Canada

Pay: $137,200 - $196,000 CAD
Experience: 5+ years of professional experience building and operating production systems, from design through production ownership.
Posting language: English
Posted: Sep 21, 2026

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Original 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.

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.

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More about this job

Responsibilities

You will design, build, and support internal AI-powered systems and developer tools end-to-end while leading technical projects. This role involves collaborating with cross-functional teams to create scalable service architectures and ensuring AI systems are dependable and cost-effective in production.

Requirements

Candidates must have 5+ years of professional experience building and operating production systems with strong proficiency in a statically typed language. You should have a proven track record of owning services in production and effectively leading projects that involve cross-functional collaboration.

Skills

Rust
Go
C++
Java
Kotlin
C#
TypeScript
System design
AI infrastructure
LLM orchestration
Production engineering
API design
Schema evolution
Mentoring
Project leadership
Technical communication

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Paid time off
Parental leave
Wellness reimbursement
Discretionary bonus
Long-term incentive plan

Visa sponsorship

Not detected in the job text

Keywords

Internal Tools
AI Integration
Developer Resources
Infrastructure
Developer Agents
Rust
Go
C++
Java
Kotlin
C#
TypeScript
Service Boundaries
Schema Evolution
Evaluation Harnesses
MCP Integrations
LLM
Multi-model Orchestration
Cost Control
Production Ownership
Runbooks
System Architecture
Claude Code
Codex
Cursor
Streaming Service
Tubi Media Group
Fox Corporation
Hybrid
Software Engineering

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