AlayaCare Manager, Software Development Vue.js lead 13 hours ago

About Alaya Care

At Alaya Care, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.

With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, Alaya Care offers the opportunity to grow your impact, your skills, and your career.

We are seeking a Manager, Software Development to join one of our Product teams. Reporting to the Associate Director, you will cultivate a strong team identity with personalized coaching and mentoring. Depending on your strengths and where we need you most, this could be a product team delivering customer-facing capabilities in areas such as scheduling, clinical documentation, or billing, or a platform team building the shared services, tooling, and foundations that every product team depends on.

You will be responsible for driving both technical excellence and team development, helping Alaya Care scale its product offerings while maintaining a high standard of reliability, performance, and impact for our customers — and for raising the bar on how effectively your team builds with AI.

Alaya Care Product teams operates AI-first. AI assistance is the way we specify, build, test, review, and operate software, with humans clearly accountable for correctness, quality, and risk.

• Hire, coach, and retain top engineering talent, setting clear expectations and providing frequent, actionable feedback.
• Foster a high-trust culture of ownership, accountability, inclusion, and continuous learning.
• Conduct performance assessments and drive career development for team members, using a balanced view of impact — quality, reliability, and outcomes alongside delivery throughput — rather than raw output counts.
• Coach engineers at every level on effective and responsible AI-assisted development and raise the floor for anyone who is not yet getting leverage from it.

• Own the software delivery lifecycle end-to-end for your team, from technical design to deployment and operations.
• Lead by example in engineering standards, technical decisions, operational best practices, and quality ownership. Collaborate with product, design, and other engineering leaders to deliver solutions that are performant, secure, and scalable.
• Own the responsibility for quality regarding your team's deliverables, including test coverage appropriate to risk, safe rollout and rollback, and clear ownership of production behavior.
• Drive innovation, simplification, and technical excellence within your team, providing hands‑on guidance when needed. You will not be the most senior technologist on the team, but you are expected to be technical enough to challenge designs, review changes meaningfully, and judge risk.

• Make AI-first the default in your team's day-to-day workflow — specification, design, implementation, testing, code review, documentation, and production investigation — rather than an optional accelerator a few engineers use.
• Establish and enforce the guardrails that make this safe: clear human accountability for every change, validation proportionate to risk, meaningful tests, and heightened scrutiny of AI-generated code in security, data, and core business logic.
• Codify what works. Turn recurring patterns into reusable rules, prompts, and team standards so improvements compound instead of staying in one person's head.
• Use engineering efficiency data to find where the team is stuck — low adoption, wasted effort, oversized changes, review bottlenecks — and act on it in planning and one-on-ones.
• Identify where AI meaningfully reduces toil in your area (test generation, documentation, escalation triage, investigation) and drive those improvements to a measurable result.
• Support your team's AI Champion and contribute to the engineering-wide AI practice through knowledge…