Développeur logiciel senior

Prelib•Montreal, QC

About The Position

Prelib is looking for a Senior Software Developer to join a small, ambitious engineering team building software for the healthcare space. We are looking for a pragmatic, high-agency engineer who can move across the stack, understand business priorities, and ship meaningful improvements without needing to be handheld. This is not a narrow frontend role. It is not a pure backend role. It is not a DevOps/SRE role either. It is a role for someone who can touch product, frontend, backend, light cloud infrastructure, architecture, observability, performance, and developer tooling when needed. We want someone with strong software engineering fundamentals — someone who built real systems before the current AI wave — but who now uses modern AI tools as leverage to move faster, explore better solutions, improve code quality, reduce busywork, and increase their overall impact. The goal is simple: build a team of super ICs who combine judgment, ownership, technical depth, and AI-accelerated execution.

Requirements

5+ years building production software.
Solid frontend and backend experience, ideally with TypeScript — our backend is in TypeScript, our frontend in React and Tailwind. Experience with Go is an asset.
Good database fundamentals, especially with relational databases (PostgreSQL).
Enough cloud knowledge to understand deployments, logs, queues, storage, and managed services — our infrastructure runs on AWS.
Strong debugging instincts across the stack.
Good product and business judgment.
Comfort with ambiguity and imperfect systems.
A pragmatic mindset: simple when possible, robust when necessary.
High ownership, accountability, and the ability to move without constant follow-up.
Real experience using AI-assisted development tools to increase speed and quality; not as a gimmick, but as part of a disciplined engineering workflow.
Above all, we value attitude, ambition, and proven experience.

Nice To Haves

Experience in health tech, fintech, govtech, or another regulated industry handling sensitive data.
Experience with queues, audit logs, background jobs, monitoring, or observability on the AWS stack.
Experience improving performance in existing systems.
Experience working in small teams where engineers wear multiple hats.
Experience introducing AI-assisted workflows, coding agents, internal tools, or automation that made an engineering team faster.

Responsibilities

Build and improve product features across the frontend and backend.
Own problems end-to-end, from understanding the business need to shipping the technical solution.
Improve performance, reliability, observability, and maintainability where it matters.
Work on pragmatic architecture improvements without turning everything into a rewrite.
Support light infrastructure and cloud-related work when needed.
Use AI tools daily and thoughtfully to accelerate coding, debugging, testing, refactoring, documentation, research, and technical exploration.
Bring strong engineering judgment to AI-assisted work: knowing when to trust, verify, refine, or discard AI-generated output.
Help raise engineering standards through code reviews, mentoring, and strong execution.