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Sr Full Stack Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Vivid Machines Inc.
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 110000 - 170000 CAD Yearly CAD 110000.00 170000.00 YEAR
Job Description & How to Apply Below
About Vivid Machines
Our vision at Vivid Machines is to revolutionize agricultural production to help solve food security globally. Our initial focus is on helping fruit and vegetable farmers improve the quality and quantity of produce they can generate on existing acreage while also improving sustainability. To do this, we are building cutting-edge technology, including real-time vision systems and state-of-the-art AI models, all while delivering a seamless experience to farmers.

As a Senior Full Stack Developer, you will own the software that sits between our cameras in the field and the people who rely on them: the applications our team and customers use to run the system and work with its data, the data model underneath, and the cloud services that move and deliver that data. You’ll be collaborating with our multidisciplinary team to create an amazing product and solve one of the world’s most important problems.

Do you love solving complex problems, and want to see your work applied in real life? We are looking for people who are self-directed and driven by a desire for excellence as much as by curiosity and a desire to learn by solving previously unsolvable problems. Join our extraordinary team. We value excellence, integrity, curiosity, passion, open-mindedness, and decisive action. We iterate quickly, deliver with purpose, and work with people who bring their unique strengths to the team.

If you love supporting customers, the pace of a scaling startup, and want to make a global impact, we’d love to meet you.

What you’ll be working on
Our cameras ride through orchards on farm vehicles, detecting and measuring every tree and every fruit, and geolocating each one. The camera is only half of the product. The other half is everything that happens around it: configuring devices and scans, managing customers, orchards and blocks, tracking what was scanned and when, and getting accurate, per-customer data into the hands of growers, agronomists and partners who want it in their own tools.

How you’ll make an impact

Own the control app end to end. It is written in Rust, and you will own its features, UX, performance and reliability, from the backend to the screen. Make it the tool our field team reaches for first, not the one they work around.

Own Prisma end to end. Same standard: a web application our users trust, that stays fast as the data grows, and that gets better every release.

Own the data model behind them. Evolve schemas and migrations so they stay safe on live data, keep tenancy and ownership rules explicit, and make the next change easier than the last.

Run and grow our services. Data processing, REST APIs, access management. Keep them fast, cheap and boring, and know when a workload has outgrown its environment.

Make auth and access control airtight. Users, roles and per-customer data isolation across both applications and every API. Assume every endpoint will be called by someone who shouldn’t.

Build real integration surfaces for customers and partners. Versioned APIs, clear contracts, useful errors and documentation good enough that a partner’s engineer never needs to email us.

Ship safely and often. CI/CD, infrastructure as code, isolated staging and production environments, and releases that can be rolled back without drama.

Find problems before our customers do. This one matters most to us. Logs, metrics, alerts and traces on every service; error budgets you actually look at; a dashboard someone other than you will use. If a partner’s import fails at 2 a.m., we should know before they do.

Connect the dots with the rest of the stack. Work with the embedded team on how devices sync scan data and status to the cloud, and with our data and ML side on how results flow into analysis,…
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