About The RoleAs 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 energetic, customer‑centric space.What you’ll doBuild 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. 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. 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.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. 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 – enabling the team to iterate on models rapidly and deploy them with confidence.Scale our Data Infrastructure – build and maintain the data backbone that captures and processes the high‑volume event streams generated by our bots. Design and evolve our data lake and data warehouse architecture on Databricks, enabling reliable ingestion, transformation, and access to the data that fuels our product, analytics, and machine learning initiatives.Champion an AI‑First Developer Experience – help define the strategy and build autonomous AI agents that proactively identify infrastructure issues, diagnose root causes, and remediate them – pushing us toward a self‑healing platform. Shape how we leverage AI to supercharge developer productivity and operational excellence across the engineering organization.What We’re Looking For5+ years of experience in infrastructure, DevOps, platform, or SRE roles in a modern cloud environment.Deep knowledge of AWS, Terraform (or equivalent IaC tools),



and Kubernetes (ECS or EKS preferred).Experience with observability platforms and the Grafana ecosystem (Prometheus, Loki, Tempo, Grafana) or equivalent tools; familiarity with OpenTelemetry is a strong plus.Experience improving CI/CD systems using GitHub Actions and Argo CD.Understanding of IAM, secrets management, and compliance frameworks (SOC 2 experience a plus).Familiarity with MLOps concepts – model serving, training pipelines, LLM infrastructure, or experiment tracking.Strong written and verbal communication skills; you can document,share, and teach effectively.A thoughtful, collaborative problem‑solver who’s excited to shape foundational systems.Nice to HaveExposure to data infrastructure concepts – event streaming, data lakes, data warehouses, or platforms like Databricks.Experience building or working with autonomous AI developer agents, AI‑powered DevEx tooling, or self‑healing infrastructure systems.Compensation and BenefitsBase pay range: $130,000 – $170,000 CAD, dependent on level of experience, performance and choice of stock‑option compensation.Employee stock options based on experience level.Comprehensive health benefits, including a $500 Lifestyle Spending Account.Four weeks of paid vacation per year.Work anywhere in the world for 60 calendar days of the year.Parental leave top‑ups: 6 months for birthing parents, 8 weeks for non‑birthing parents (up to $100,000 annual salary).EEO StatementQuandri is dedicated to fostering a diverse and inclusive workplace. As an equal‑opportunity employer, Quandri adheres to Canadian labour laws and does not engage in discrimination based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other status protected under Canadian law.#J-18808-Ljbffr

📌 Senior Infrastructure Engineer - C$130,000 - C$170,000 A Year (Winnipeg)
🏢 Quandri
📍 Winnipeg