Software Engineer (Product - Backend)

About Vasco

About the role

What you will do

• Design, build, and ship backend systems, including a context graph and metric engine where formula accuracy matters.
• Own full feature slices, including frontend and data visualization when required, with human review scaled to risk.
• Shape solutions with design, engineering, and go-to-market teammates; translate intent into implementation context and follow releases through adoption.
• Build services that handle customer revenue data safely and own infrastructure and security for components you build, with DevOps guidance and tooling.
• Build backend harnesses and blueprints that define standards for AI-assisted implementation.
• Own production incidents, fix issues, and communicate quickly and transparently so the team learns of problems before customers.

What we're looking for

• At least four years building customer-facing systems, with technical decisions tied to the customer problems those systems solve.
• Experience designing, building, and operating production backend services and designing complete systems with the feature's broader context in mind.
• Comfort working on a data-heavy infrastructure product; experience with GCP, BigQuery, Node.js, TypeScript, Terraform, or equivalents in other clouds is ideal.
• AI coding tools are central to your shipping workflow; you own and can defend your output and build checks that support evidence-based releases.
• Experience making consequential decisions and explaining the reasoning behind them.
• Clear communication of technical trade-offs as business impact for audiences including developers and cofounders.
• Enjoys teamwork, involves others in their work, and contributes to team culture.

Differentiators

• Production services experience in Rust or Go is a plus; the company is considering these alongside TypeScript and Node.js for high-performance, type-safe workloads.
• Experience building production data or context layers consumed by AI agents, including context graph architectures, is a plus.
• Data engineering or DevOps range—including SQL, data modeling, pipelines, infrastructure, CI/CD, and observability—is a plus.
• Experience with semantic layers or BI tools such as Cube, and an interest in precise formulas and numbers, is a plus.

Why Vasco

• Offers a small team, early-stage ownership, autonomy, opportunities to experiment and learn, stock options, uncapped paid time off, generous parental leave, and employer-paid health benefits for employees and dependents.
• The company describes compensation as within the top of the national market, without stating a specific amount or pay cadence.

Where you'll work

• Hybrid in Montreal, with three in-person days per week: Monday, Tuesday, and Thursday, at WeWork Place Ville-Marie downtown.

Hiring process and checks

• Hiring stages are a discovery call, hiring manager interview, technical challenge and interview, and final interview with the CEO.
• A background check is required before starting. AI may be used for interview note-taking, and candidates may opt out without impact on candidacy.