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Added 4 months ago
C
React Full Stack Developer
Citi
Remote, Canada
- Full-time
- Remote
From a technical standpoint, the Software Engineer has full-stack coding and implementation responsibilities and adheres to best practice principles including modern cloud-based software…
Added 5 months ago
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Senior Data Engineer
NimbleRx
Toronto, Ontario
- Full-time
Optimize backend query performance where the data layer meets product code - reader-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services
Added 1 month ago
Staff Software Engineer - Growth Platform
Faire
Toronto, ON · Kitchener, ON
Backend development (e.g., Kotlin, Java, C#, APIs, databases, distributed systems), or
Added 5 months ago
P
Principal/Senior Software Engineer
PointClickCare
Mississauga, Ontario
- Full-time
Background with Spring Boot and Java ecosystem
Added 5 months ago
D
Software Engineer, Detection (TOR)
Doppel
Toronto, ON
- $157,000 to $367,000 CAD / year
- Full-time
Strong mastery of at least one backend language (Python, Go, Java, or Node) and comfort with web APIs, async processing, and service frameworks.
Added 5 months ago
C
Lead Java Developer
Citi
Remote, Canada
- Full-time
- Remote
We are looking for a Java Engineer to design, build, and support modern web APIs. This role focuses on back-end services (Java/Spring Boot), with API-first, microservices-based architecture…
Added 1 month ago
IT Industrial CrossFunction - Full Stack & AI Integration
Amrize
Mississauga, ON · Laval, QC
The Industrial IT Full Stack / Back End & AI Integration Snr. Engineer role is to contribute her/his skills to the development of company Industrial Solutions including AI-powered features…
Added 5 months ago
C
Lead Java Full Stack Developer
Citi
Mississauga, Ontario
- Full-time
Role Summary: We are looking for a Java Full-Stack Engineer to design, build, and support modern web applications. This role spans front-end development (Angular or React) and back-end…
Added 5 months ago
C
Lead Java Full Stack Developer
Citi
Remote, Canada
- Full-time
- Remote
Role Summary: We are looking for a Java Full-Stack Engineer to design, build, and support modern web applications. This role spans front-end development (Angular or React) and back-end…
Added 1 month ago
Software Engineer (C++)
Scotiabank
Toronto, ON
…Derivatives trading and service platforms. The role focuses mainly on backend development using C++ / Java / RESTful…
Added 1 month ago
Software Engineer (Python/PL-SQL)
Scotiabank
Toronto, Ontario
4+ years of recent experience in backend development using Python and PL/SQL
Added 5 months ago
O
Software Engineer
OSEDEA
Montreal, Quebec
- Full-time
Around 3 years of experience as a software engineer or developer, ideally with several recent projects in modern programming languages such as Python, C#, GoLang, JavaScript/TypeScript or…
Added 1 month ago
Staff Product Engineer - Search FX (Discovery Experience)
Faire
Kitchener, ON · Toronto, ON
Technical Stack: Strong programming skills in Kotlin or Java, with experience in high-performance backend systems, Protocol Buffers, and MySQL.
Added 6 months ago
UM
Senior Backend Engineer
US Mobile
Toronto, Ontario
- Full-time
We're looking for an exceptional backend engineer and hands-on architect to help us scale and connect millions of devices to wireless networks. The projects and potential impact are…
Added 6 months ago
P
Senior Software Engineer - Java
PointClickCare
Mississauga, ON
- Full-time
Background with Spring Boot and Java ecosystem
Added 2 months ago
R
Software Development Engineer II, ML Platform
Remitly
Burnaby, BC
- Full-time
We're seeking a Senior Engineer to shape the tooling and infrastructure that power the next generation of scalable AI / ML products at Remitly. In this role, you'll collaborate with AI /…
Added 3 months ago
Senior Software Engineer, Full Stack
Brex
Vancouver, British Columbia
Strong proficiency in backend programming languages (Java, Kotlin, Python)
Added 1 month ago
Senior Software Engineer
Evismart
Vancouver, BC
…you're ready to stop being the boss and start being the best engineer in the room, I want to…
Added 1 month ago
Staff Software Engineer, ML Infra & Distributed Systems
Tubi - Canada
Toronto, ON
Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
Added 1 month ago
Senior Software Engineer - Retailer Experience & Growth - Fullstack, Backend or Frontend
Faire
Toronto, ON · Kitchener, ON
Backend: Kotlin, Java, Guice, Jersey, Hibernate
Added 2 months ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.).
Added 2 months ago
Staff Software Engineer, Product Data Platform
Brex
Vancouver, BC
As a Staff Software Engineer, you'll shape the technical direction of the platform across multiple teams. Your mandate is to identify the highest-impact architectural problems across the…
Added 1 month ago
S
Staff Software Engineer, App Runtime
Snowflake
Toronto, ON
- Full-time
Proficiency in programming languages, such as Java, Python, TypeScript or Go (strong in backend and familiar with modern web stacks like Node.js), applied in distributed environments where…
Added 1 month ago
Staff Software Engineer, Web3
Robinhood
Toronto, ON
Expertise in backend development using languages such as Go, Python, or Java, with deep knowledge of cloud-native architectures
Added 1 month ago
C
Software Engineer Intern
Cresta
Toronto, Ontario
- $30 to $50 CAD / hour
As a Software Engineer Intern, you’ll build systems that power real-time, AI-driven customer interactions in contact centers. You’ll work on production infrastructure where latency,…

Tubi - Canada

Staff Software Engineer, ML Infra & Distributed Systems

Toronto, ON, Canada

$164,600 - $235,100 CAD

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Job details

Pay: $164,600 - $235,100 CAD
Posting language: English
Posted: Sep 11, 2026

Original job description

About the Role:

As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

Responsibilities:

Design and build scalable, high throughput, and low latency distributed systems using Scala
Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.

Your Background:

Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
Strong experience with AWS or an equivalent cloud platform
Experience building online microservices at scale with low latency serving
Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
Experience with containerization technologies, such as Docker or Kubernetes
Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
Previous experience with Akka, Erlang, Elixir or Go
Proficient in data-driven analysis of complex A/B testing results

About Tubi:

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.

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

$164,600 - $235,100 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

The role involves designing and building scalable, high-throughput, and low-latency distributed systems using Scala to power ML applications like personalization and search. Responsibilities include developing critical components like the inference engine and feature store, optimizing infrastructure efficiency, and leading cross-functional refactorings.

Requirements

Candidates must have 8+ years of experience building scalable, distributed systems, preferably with Scala or a JVM language, and strong experience with AWS or a similar cloud platform. Required background includes building low-latency online microservices and experience with various data technologies like SQL, NoSQL, Kafka, and Redis.

Skills

Scala
Distributed Systems
ML Inference
Low Latency
Deep Learning
LLM
Search Models
Inference Engine
Feature Store
Vector Store
Experimentation Engine
AWS
Microservices
SQL
NoSQL
Kafka

Benefits

Annual Discretionary Bonus
Long-Term Incentive Plan
Medical
Dental
Vision
Insurance
Vacation
Paid Time Off
Flexible Time Off Policy
Parental Leave Program
Wellness Reimbursement

Visa sponsorship

Not detected in the job text

Keywords

ML Infrastructure
Distributed Systems
Machine Learning
Inference Platforms
Low Latency
Deep Learning
LLM
Search
Inference Engine
Feature Store
Vector Store
Experimentation Engine
Scala
Java
Python
Go
C++
AWS
Microservices
Postgres
Cassandra
Kafka
Redis
Docker
Kubernetes
Triton
vLLM
FAISS
Feast
A/B Testing

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