Senior Software Engineer​/Technical Lead

Senior Software Engineer / Technical Lead
London, ON Praxeon Health Technologies Full-time Sep 15, 2026 Yearly: $100000 - $165000

Full-time, permanent | Southwestern Ontario
Reports to the Executive Team

We are a Canadian healthcare technology company preparing to bring a new cloud-based healthcare operating platform to market.

The platform combines clinical records, scheduling, billing, payments, patient communications, operational workflows, integrations, reporting and business intelligence into a single system.

The product has been developed alongside the healthcare organizations that will initially use it, giving our team direct access to real users, real workflows and a highly practical development environment. We are preparing for our initial production deployment, followed by a broader commercial rollout across Canada.

This is not an early-stage prototype. It is a large, working application with thousands of automated tests, CI/CD controls, authorization and security checks, Canadian-hosted personal health information, and integrations with healthcare services, payment systems, communications platforms and third-party vendors.

We are now looking for the person who will become the technical owner of the platform as it moves into production and scales nationally.

We have built the platform differently.

The founders have used modern AI development tools, including Claude Code and Codex, extensively throughout the development process. We believe AI is fundamentally changing how software companies should be built and how much a small, highly capable technical team can accomplish.

We're not looking to immediately build a large engineering department.

We're looking for one exceptional senior technical person who can take ownership of a sophisticated production platform while using AI coding agents as a major part of their development capacity.

You need to be an excellent software engineer yourself. But your value isn't going to be measured by how many lines of code you personally write.

It will be measured by whether the platform is reliable, secure, maintainable, fast and continuously improving.

You'll use AI aggressively where it makes sense, while applying the engineering judgment required to know when its output is right, when it's wrong, and when a problem requires deeper investigation.

You will become the technical owner of the platform.

Responsibilities include:

Production reliability: Own the health of the production environment, including monitoring, logs, performance, database health, backups, disaster recovery and uptime.

Production incidents: When something goes wrong, lead the technical response to determine what happened, contain the problem and restore normal operations.

AI-driven development: Use Claude Code, Codex and other appropriate development tools to build features, investigate problems, generate tests, refactor code and accelerate development.

Code quality: Review and understand AI-generated changes before they reach production. Maintain the engineering standards and automated gates that protect the platform.

Release management: Own staging and production deployments, CI/CD, rollback procedures, migrations, feature flags and release discipline.

Architecture: Understand the entire application architecture and make sound decisions about how it evolves as the platform grows.

Database: Own PostgreSQL architecture, migrations, performance and data integrity, including the safe handling of production data and personal health information.

Integrations: Own and troubleshoot integrations with healthcare services, payment providers, communications platforms and other third-party systems.

Security: Work with external cybersecurity and privacy specialists to maintain appropriate technical controls around authentication, authorization, audit logging, secrets, PHI and other sensitive information.

Observability: Build the monitoring and visibility necessary to identify problems before customers have to tell us something is wrong.

Technical support escalation: Support and implementation teams will handle normal user questions. You will own difficult technical issues they cannot resolve.

Technical documentation: Ensure architecture, integrations, deployments, incidents and important technical decisions are documented.

Technical roadmap: Work directly with the founders and executive…