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Streaming Engineer Jobs in Toronto, ON (NOW HIRING)

Before streaming became industry standard, AdRise powered Tubi's growth from the ground up by ... This role requires strong engineering judgment and organizational leadership. You will set ...

Experience with 2D hydraulic modelling, fluvial geomorphology, stream restoration, erosion ... and engineering to program and construction management. AECOM is a Fortune 500 firm that had ...

The Role As a Data Engineer on Scotiabank's Data & AI Technology team, you will be involved in ... Knowledge of streaming technologies (Kafka, structured streaming) * Creative and persistent ...

The Role As a Data Engineer on Scotiabank's Data & AI Technology team, you will be involved in ... Knowledge of streaming technologies (Kafka, structured streaming) * Creative and persistent ...

Building and optimizing high-throughput log ingestion pipelines using streaming technologies and ... Mentoring engineering team members on logging best practices, data architecture, and platform ...

Apply Lean Manufacturing principles, including Value Stream Mapping, 5S, Kaizen, Visual Management ... Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or ...

As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team ... Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions ...

Drive design decisions across streaming, processing, and storage layers for performance and cost ... Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent * 10+ years in ...

Full Stack Engineer Role Overview We are seeking an experienced Full Stack Developer with strong ... Experience with messaging and event-streaming technologies such as Kafka or Aeron. Experience with ...

Must have * 8+ years in software or platform engineering, with 5+ in SRE, real-time data infrastructure, observability, or large-scale stream processing. * A track record running high-volume ...

Showing results 41-60

Streaming Engineer information

See Toronto, ON salary details

$12.4K

$143.3K

$280.1K

How much do streaming engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for streaming engineer in Toronto, ON is $143,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,865.00 and $168,441.00 per year, depending on experience, location, and employer.

What is the difference between Streaming Engineer vs Video Engineer?

AspectStreaming EngineerVideo Engineer
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of streaming protocolsBachelor's in Film, Video Production, or related; technical skills in video editing and production
Work EnvironmentTech companies, streaming platforms, live broadcastingTV studios, post-production houses, media companies
Employer & Industry UsagePrimarily in digital media, online streaming servicesTraditional media, television, film production
Common Search & Comparison IntentYesYes

Streaming Engineers focus on developing and maintaining live and on-demand streaming infrastructure, ensuring smooth delivery of digital content. Video Engineers work on the technical aspects of video production, editing, and post-production. While both roles involve video technology, Streaming Engineers specialize in streaming protocols and platform integration, whereas Video Engineers focus on video quality and editing processes.

Infographic showing various Streaming Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $143,349 per year, or $68.9 per hour.

Backend Engineer - Real-Time Sports Data (Go / ClickHouse / AI-Native)

Toronto, ON โ€ข On-site

Full-time

Posted 9 days ago


Job description

About Us

Betstamp is the pricing intelligence layer for sports betting. We turn 200+ sportsbooks, exchanges, and prediction markets into one sharp, real-time view of fair value - for the sportsbooks that price against it, the bettors who bet with it, and the traders who move on it.

We launched in 2020, built by professional bettors who needed sharper tools than the market offered and won at scale using them. That same pricing now runs as infrastructure across the industry. Because it's still used to win real money, it can't drift - every model is backtested against years of closing lines and monitored continuously. What our customers run on is the pricing we stake our own edge on.

What We Build

One pricing engine, delivered three ways:

  • Sportsbooks and operators get fair-value pricing on player props, alternates, and ladders, correlation-aware same-game-parlay pricing, and a normalized real-time and historical feed that drops into their existing trading stack.
  • Professional bettors get Betstamp PRO, the professional odds screen - True Line pricing across 200+ books and real-time edge detection the moment a market is mispriced.
  • Prediction market traders get the raw feed by API: sub-second data on every market we cover, benchmarked against the full spread of books and exchanges.

200+ sportsbooks and operators. 2,500+ markets. Sub-second refresh.

Why Betstamp

We're at the point where a product built for bettors has become infrastructure the industry runs on - and prediction markets have opened a category that barely existed three years ago. That's a rare window, and we're small enough that the people who join now shape what gets built rather than maintain what already exists.

The work has unusual clarity to it. Pricing is either sharp or it isn't, and our customers would know within a day if it weren't. You'll see the effect of your work quickly, and you'll be trusted with real scope early.

Careers

Learn more at https://betstamp.com/careers


The Role

We track odds across sportsbooks, exchanges, and prediction markets in real time, calculating line movement, best available price, edge, and expected value. Our Go monorepo includes sportsbook scrapers, a Redis Streams and ClickHouse data pipeline, and the REST API powering pro.betstamp.com and our props screen. You'll help maintain and improve these systems as feeds change, markets move, and integrations break.

AI is central to how we work. You'll be expected to use coding agents and other AI tools heavily for implementation, debugging, testing, and investigation - while reviewing their output carefully and remaining accountable for the result.

What You'll Own
  • REST API: Build Echo endpoints for markets, fixtures, and line history. Optimize PostgreSQL and ClickHouse queries and resolve performance issues.
  • Sportsbook scrapers: Maintain more than 100 integrations and fix issues caused by feed changes, renamed markets, and blocking.
  • Infrastructure and alerting: Work with Kubernetes, GitHub Actions, Prometheus, and Grafana to deploy services and improve monitoring.
  • Data pipeline and databases: Contribute to Redis Streams, our market processor, Atlas migrations, and ClickHouse schemas.
  • AI-enabled development: Use AI to move faster, improve code quality, and automate repetitive engineering work. You should actively explore new tools and better ways to apply them.
You'll begin with scrapers and gradually take ownership across the stack. Architecture decisions, production incidents, and irreversible changes will be handled alongside a senior engineer.
The Stack
Go 1.25
PostgreSQL 18, Atlas, and ClickHouseย 
Redis/Dragonfly, Redis Streams, and RabbitMQ
Kubernetes, Docker, and GitHub Actions
What We're Looking For
  • Strong fundamentals in a backend language such as Go, Java, C#, Rust, C++, Kotlin, or server-side TypeScript
  • Comfortable working with SQL and investigating query performance
  • Some experience with Linux and containers
  • Active, thoughtful use of AI coding tools, with the judgment to verify their work
  • An interest in how AI can improve engineering workflows and products
  • A habit of verifying assumptions and communicating clearly
  • Based in Toronto or willing to relocate

Go experience isn't required, but you should be able to become productive in it within a few weeks.

Nice to Have
  • Experience with Go, Kubernetes, Prometheus, ClickHouse, or streaming systems
  • Experience scraping websites or reverse-engineering undocumented APIs
  • Experience building internal tools or product features with LLM APIs
  • An interest in sports or betting markets
What's In It for You
  • Competitive salary & raises - share in the upside you build
  • Autonomy & influence - real scope early, not tickets
  • Gear & learning stipend, plus free rein testing and spending on the AI tools of the future
  • World-class betting tools - the same tools professional bettors pay for, free
  • Sports-centric culture - team watch parties, office prop pools, and the inside scoop on sharp bets
The Process
  • 45-min intro call - meet the team, swap questions
  • Lightweight take-home (under 2 hours) - a real problem from this codebase, not a LeetCode exercise
  • Systems conversation - a real problem together, no whiteboard algorithms
  • Final interview - meet leadership
  • Offer onboarding shipping to thousands of bettors
ย 
We are a team of experienced developers writing exciting new features for Betstamp every day. If you're looking for an opportunity to have increased responsibility, design decisions, and manage projects from start to finish, Betstamp is a good fit for you.
ย 
We care more about ability to learn and deliver than ticking every box-if you're close, apply!
ย 
Plan to start Sept 2026, but we'll flex for the right person.
apply for this job