Senior Infrastructure Engineer,

Who we are

Our mission at Quandri is to transform insurance into a trusted and delightful experience using AI. We do this by delivering an AI operating system for North America's best insurance agencies and brokerages.

What we do

Quandri is transforming the insurance experience for policyholders across North America by providing AI to the industry's critical stakeholders - insurance agencies and brokerages.

Insurance agents are the lifeblood of the insurance industry, and are where most Property & Casualty insurance is sold and serviced.

Yet, there are forces making it harder than ever for them to operate; more consolidation, rising talent crisis, increasing complexity of insurance and the AI revolution are significant challenges for how agencies have typically operated.

This challenge is a massive opportunity to rethink how insurance agencies operate.

Quandri is at the cutting edge of this change, delivering real transformation to the entire insurance experience one process at time through the deep understanding of insurance workflows, systems and data paired with deep technical capabilities and proprietary models.

We're making insurance better for policyholders, while helping insurance brokerages deliver a better client service, grow faster, and harness AI so that they control the future of insurance distribution.

Why join us?

We are moving fast and focused on customer impact.

You will enjoy and be successful at Quandri if you:

Have a deep customer focused mindset

Can operate in a fast paced environment where change and innovation is a constant

Take high levels of ownership in everything you do

Have AI-first thinking and want to apply AI to solve the world's problems of tomorrow

Operate with urgency, and aren't afraid to move fast and make some mistakes along the way

Are low ego, and believe more in achieving the best outcome for our customers and achieving big goals as a team

Want to have a big impact, and are not content with making changes at the edges

Our head office is in Vancouver BC, with ¾ of our team working here and the rest distributed across North America.

We're backed by leading US and Canadian investors, are growing fast, and have a few awards to prove it:

LinkedIn's Top Canadian Startups in 2024 & 2025Deloitte's Fast 50CB Insights' Insurtech 50 and Fintech 100 Globe and Mail's Top Growing Companies in Canada.

Most importantly, if you want to do the best work of your life changing an industry with technology alongside talented people who are both high-performing and kind, Quandri is the place for you.

About The Role

As a Senior Infrastructure Engineer, you'll help lead the design and evolution of Quandri's core infrastructure and platform capabilities.

You'll play a critical role in how our software is deployed, run, and scaled — partnering across engineering to build robust systems that support our fast-growing customer base.

This team is responsible for our cloud infrastructure, developer experience, security and compliance posture, and platform reliability. You'll work closely with engineering and product peers to ensure that our infrastructure is performant, scalable, cost-effective, and secure.

This is a high-impact role for someone who thrives on ownership, is motivated by operational excellence, and wants to help shape the foundational platform of a company growing rapidly in a dynamic, customer-centric space.

What you'll do

Build our AI Bot Control Plane — Design and build the critical orchestration layer between the Quandri application and the high-scale AI bots that power it.

You'll own the infrastructure that handles bot scheduling, lifecycle management, deployment pipelines, autoscaling, resource allocation, and real-time health monitoring — ensuring hundreds of concurrent bots run reliably, efficiently, and at scale.

Shape our Observability Strategy — Architect and implement a full-stack observability platform built on OpenTelemetry, spanning logs, metrics, and distributed traces.

You'll work across the Grafana ecosystem (Prometheus, Loki, Tempo, Grafana) to give engineering deep visibility into system behavior, define and enforce SLOs/SLAs, build dashboards that drive decisions, and establish incident management workflows that keep us ahead of issues — not reacting to them.

Lay the Foundations of our Security Posture — Implement and mature foundational security practices including SOC 2 compliance, incident response procedures, data loss prevention (DLP), Identity and Access Management (IAM), secrets management, and security monitoring.

You'll be instrumental in building a security-first culture across the engineering organization.

Pioneer our MLOps Infrastructure — Partner with our Intelligence team to build and operate the MLOps infrastructure that powers our AI capabilities.

This includes standing up and scaling our LLM service layer, model training pipelines, model versioning and lineage tracking, experiment management, and production model serving —