Senior DevOps Engineer

4 weeks ago

Montreal, Canada Fuze HR Solutions Full time

Location: Montreal, QC

Openings: 1

Category: Information Technology — DevOps / Platform Engineering

Engagement: Fully On-Site in Montreal QC, Full-Time Permanent Opportunity

Project / Program Overview

Venture-backed deep-tech startup building AI and game-streaming software and scaling a global edge-computing platform. The company is tripling headcount within 12 months; this role will build and own the infrastructure foundation that supports that growth.

Role Summary

A hands-on DevOps expert who will design, scale, and operate cloud-native infrastructure, set engineering standards, and own CI/CD and release practices.

Key Requirements

- DevOps SME: Deep expertise in infrastructure, deployment pipelines, and production operations.
- Startup-minded: Comfortable with ambiguity, rapid iteration, and shifting priorities.

Responsibilities

- Build secure, scalable, high-performance cloud-native infrastructure.
- Own, optimize, and scale CI/CD pipelines and release engineering.
- Define DevOps standards; mentor engineers and champion best practices.
- Introduce modern tools to increase engineering velocity and platform resilience.
- Recommend and define a pragmatic DevOps roadmap within 6 months.
- Support production deployments and participate in an on-call rotation as needed.

Must-Have Requirements

- 8+ years in Software/DevOps with demonstrated expertise with Kubernetes and Linux
- Linux: Deep knowledge of internals and performance tuning; strong scripting (Bash, Python).
- Kubernetes: Proven experience operating at scale, building Kubernetes Clusters from scratch (designed for millions of users).
- CI/CD: Expert in building and maintaining robust, scalable pipelines (GitHub Actions/GitLab CI/Jenkins).
- Containers: Advanced Docker usage and orchestration patterns.
- Cloud & IaC: AWS/GCP/Azure plus Terraform/Ansible (or similar).
- Observability: Prometheus, Grafana, ELK/EFK; alerting and SLO-driven ops.
- Security: DevSecOps best practices, least-privilege, and secrets management.

Nice to Have

- Experience with GPU drivers (NVIDIA/AMD) or other performance-sensitive systems.

Ways of Working & Tools

- OS/Platform: Linux, Kubernetes, containers
- CI/CD & IaC: GitHub Actions / GitLab CI / Jenkins; Terraform, Ansible
- Cloud: AWS / GCP / Azure (any combination)
- Observability: Prometheus, Grafana, ELK/EFK, alerting/on-call
- Languages/Scripting: Bash, Python; Git workflows (PRs, trunk-based/GitFlow)
- Security: DevSecOps, shift-left testing, secrets management, least-privilege/Zero Trust principles

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