Engineering Manager - Clinical Healthcare / SaaS

Sycle

4d•Remote

About The Position

Sycle is looking for an Engineering Manager to lead one of their core product streams, the Digital Clinic team. This role combines people leadership, software delivery, and hands-on technical contribution. The Engineering Manager will serve as a strategic partner to Product Management and cross-functional teams to deliver high-quality software while coaching and growing engineers. The role is remote, but hiring is restricted to BC, AB, and ON.

Requirements

Proven software engineering leadership within a Healthcare SaaS or related regulated industry environment.
Experience leading, mentoring, or managing software engineers while maintaining technical engagement.
Strong strategic collaboration skills with Product Management, Design, and QA partners.
Solid background in system design, database schemas (PostgreSQL), code reviews, testing, debugging, and production support.
Experience or strong understanding of modern architecture (microservices, monolithic, modular monoliths) and tech stacks including TypeScript, Node.js (NestJS), PHP, Next.js, AWS, and CI/CD.
Strong understanding of Agentic AI tools and AI-assisted development workflows to drive engineering productivity.

Responsibilities

Manage, coach, and develop engineers through regular 1:1s, actionable feedback, and career growth support.
Foster a high-trust culture of ownership, accountability, engineering quality, and continuous learning.
Serve as a strategic partner to Product Management, converting product roadmaps into clear technical milestones and execution plans.
Remove blockers, manage dependencies, and balance product roadmap features with technical debt and maintainability.
Participate directly in software delivery, architecture, code reviews, and complex technical problem-solving.
Stay close to the codebase to guide technical decisions without becoming a delivery bottleneck.
Drive continuous improvement in developer experience, automation, testing, and delivery practices.
Leverage AI-assisted tools and integrate agentic AI agents with strong governance, traceability, and human-in-the-loop review processes to enhance engineering efficiency.