Senior Software Engineer–Data & ML Platform

Does working with Data motivate and excite you?

Then Jobber might be the place for you! We’re looking for a Senior Software Engineer to be part of our Data & ML Platform team.

Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more.

That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want!

Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish for our customers.

We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work‑life harmony. Bring your dedication and passion to this job to fulfill your goals.

The Data & ML Platform team builds and operates the core data foundation that powers analytics and machine learning across Jobber. This highly technical team manages the lakehouse, CDC pipelines, and job orchestration to deliver accurate, timely data for downstream use. They establish standards for data modeling, observability, and security, while continuously optimizing the data ecosystem for performance and efficiency. By enabling analysts, data scientists, and engineers to self‑serve through shared tools and capabilities, the team allows partners to focus on foundational transformations and building consistent data models.

Ultimately, the goal is to provide robust, well‑orchestrated systems that enable teams to move quickly and confidently as the business scales.

The Software Engineer, Data & ML Platform role sits at the intersection of software engineering, platform reliability, and data enablement, and is critical to how teams across Jobber build, ship, and scale. As a Senior Software Engineer on the Data & ML Platform team, you will take end‑to‑end ownership of data and machine learning platform capabilities—from design and implementation through operation and continuous improvement.

You’ll apply strong backend and systems engineering skills to build durable, scalable platforms that enable data and machine learning use cases across the company.

• Empower Internal Teams
  Build scalable platforms, frameworks, and self‑service tooling that enable engineers, analysts, and data scientists to work effectively with data and machine learning. Partner closely with Product, Engineering, and ML teams to understand their needs and translate them into intuitive, well‑documented capabilities that improve developer experience and reduce friction.
• Improve Efficiency of Existing Systems
  Design, operate, and evolve core platform systems—including compute platforms, job orchestration engines, CI/CD workflows, and production ML infrastructure—with a focus on performance, scalability, and cost efficiency. Continuously improve automation and operational practices to reduce toil and enable teams to move faster with confidence.
• Drive Innovation and Growth
  Apply strong software engineering fundamentals to build new platform capabilities that unlock faster experimentation, safer…