Full-Stack Engineer

About the role

MAESTRO is the product that clinical operations, quality and data teams open every morning to run their trials — managing studies, sites, participants, regulatory documents, deviations, CAPAs, training and approval workflows in one validated, audit-ready platform. The quality of their day depends on the quality of what we ship.

You'll build that product end-to-end — from the data model, through the services, to a clean, role-aware interface — with genuine ownership over the surface area you ship. The people on the other side of the screen are coordinating real studies under real regulatory scrutiny, so the software has to be trustworthy, fast, and pleasant to use, with auditability and correctness built in rather than patched on.

This is a high-ownership role on a small, focused team where you'll help shape both the product and how we build it.

What you'll do

• Design and deliver features end-to-end: the data model, the API, and a clean, role-aware UI that respects each user's permissions and organization context.
• Write well-tested, maintainable code across the front-end and back-end, working with relational data and the platform's permission and workflow layers.
• Collaborate with product, clinical and regulatory experts to turn genuinely complex operational requirements into clear, guided workflows users can trust.
• Care about quality, performance and auditability — this software is used in regulated environments where "who changed what, and when" actually matters.
• Help shape engineering practices, review standards and the product's direction as the team grows.

What you'll bring

• 5+ years building production web applications full-stack.
• Strong command of a modern front-end framework and comfort across the back-end and relational databases.
• A genuine product mindset — you sweat the details that make software feel reliable and considered, not just functional.
• Experience shipping in a collaborative, fast-moving team and a habit of leaving the codebase better than you found it.

Nice to have

• Experience with regulated, multi-tenant SaaS or healthcare / clinical data.
• Familiarity with workflow engines, document management or audit-trailed systems.
• Interest in applying AI / large language models to document understanding in a controlled, verifiable way.

Education

• A degree in Computer Science, Software Engineering or a related technical field from a recognized post-secondary institution — or equivalent practical experience that demonstrably matches the level of the role.
• Internationally educated candidates are welcome; foreign credentials should be assessed for Canadian equivalency (e.g. WES, ICAS or a comparable recognized service).
• We weigh a strong portfolio and shipped production work as heavily as formal credentials.

Location & eligibility

This role is open only to candidates who are based in Canada and legally entitled to live and work in Canada (Canadian citizens, or permanent/legal residents with valid Canadian work authorization). We are not able to sponsor relocation or work authorization for this position.

Why join

Meaningful ownership, a well-understood and thoughtfully maintained codebase, and software that supports real clinical research — not vanity metrics. You'll see your work used by people running studies that matter, and you'll have a real say in how it's built.