Software Engineer

EvismartVancouver, BC
Onsite

About The Position

The dental industry a $40B global market spanning 28 countries still runs on disconnected systems, manual workflows, and decisions made without data. Most of it has never been touched by modern software engineering, let alone AI. EviSmart is the dental industry's Autopilot. We build the platform that automates the workflows consuming the industry's time and margin and we build it here, in Vancouver. If you want to architect systems that ship to real customers across North America, Europe, and beyond, and you're done with legacy tech and permission-seeking this is the role. Why EviSmart™ $13M ARR and growing. 145% year-over-year SaaS growth. The market has validated what we're building. 28 countries. One platform. The dental industry's Autopilot built out of a 675 W Hastings office. Real AI stack. An in-house AI model R&D team building proprietary intelligence not wrappers. Outcome-driven culture. 50% of variable compensation tied to measurable technical outcomes. You own results, not tickets. Why Now The Customer Experience Platform is being built from the ground up. No legacy architecture to fight. No design-by-committee. The person who joins now will define the technical foundation and the standards everyone else builds on. We're at the stage where architectural decisions made this quarter will still be running three years from now. If you've ever wanted to be the person who sets the bar, this is that moment. From the CEO "I'm not looking for someone to execute a technical spec handed down from above. I need someone who looks at our system, sees what's wrong, and tells me directly then fixes it. If you've founded something, run an engineering team through growth and hard pivots, and you're ready to stop being the boss and start being the best engineer in the room, I want to talk." Paolo Kalaw, CEO, EviSmart™

Requirements

  • 7+ years in software development, with 3+ years in technical leadership or architecture including hands-on IC time.
  • Distributed systems and modern web architecture: microservices, APIs, event-driven patterns. Not just familiarity you've built these at scale.
  • Cloud platform experience (AWS preferred). Infrastructure-as-code, Docker, Kubernetes, CI/CD pipelines.
  • Strong command of at least one major stack Python, Node.js/React, Java/Spring, or Go. We use Python, Node.js, React.
  • AI/ML integration experience: LLM APIs, agents, embeddings, document intelligence in production.
  • Compliance and security mindset. HIPAA or ISO 27001 experience is a real plus we operate in healthcare-adjacent territory.
  • Track record of designing for scale: systems that grew 10x to 100x without a full rewrite.
  • Strong communicator able to translate architecture decisions for non-technical stakeholders without oversimplifying.

Nice To Haves

  • Founder or CTO experience you've been the technical decision-maker, not just a contributor to one.
  • B2B SaaS background, especially in retention or customer engagement products.
  • Experience leading migrations data centres to cloud, monoliths to microservices, legacy to modern.
  • Outcome-based engineering performance models. We use them here and we want someone who's already lived this.

Responsibilities

  • Own the end-to-end technical design of the Customer Experience Platform balancing short-term delivery with long-term scalability ('design for 100x, build for 10x').
  • Work hands-on alongside 2–3 engineers (30–50% IC) to bring system designs to production-quality reality.
  • Define API specs, data contracts, code quality guidelines, and architectural patterns the team builds on.
  • Hold the line on >99.9% uptime and <0.2 critical production issues per release. You're accountable, not just involved.
  • Partner with Product and UX to translate real customer workflows into maintainable, scalable systems.

Benefits

  • Hands-on access to the full AI toolchain: Claude, Cursor, LLM-powered workflows in production, not a sandbox.
  • Direct line to product, design, and the CEO. No layers, no ticket queues between you and the decision.
  • 50% of variable comp tied to measurable technical outcomes uptime, bug density, scalability gains.
  • Collocated squad model: core team on-site in Vancouver for rapid, focused iteration.
  • Clear trajectory: Principal Engineer → Staff Engineer, in a company at 145% YoY growth.
  • Above-market compensation for the right person. We don't negotiate down talent.
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