High Availability & Resilience: Design infrastructure and deployment strategies that eliminate single points of failure and provide high availability across compute, networking, storage, and application components.
Storage Architecture: Evaluate and implement reliable storage solutions for Kubernetes workloads, including persistent volumes, replication, backup, performance, and recovery requirements.
Disaster Recovery: Design and implement backup, restore, replication, and disaster recovery strategies for critical services and infrastructure.
Infrastructure Automation: Develop automation and operational tooling using Golang, Python, and/or TypeScript to simplify provisioning, deployment, monitoring, troubleshooting, and infrastructure management.
Observability & Operations: Assist with implementing monitoring, logging, alerting, health checks, and operational dashboards to improve platform reliability and troubleshooting.
Security: Apply infrastructure security best practices, including network segmentation, Kubernetes RBAC, secrets management, certificate management, secure service communication, and least-privilege access.
Technical Skills & Qualifications
Linux: Strong understanding of Linux systems, networking, processes, storage, troubleshooting, and system administration.
Kubernetes: Practical knowledge of Kubernetes concepts such as pods, deployments, services, ingress, persistent volumes, RBAC, scheduling, and cluster networking.
Containers: Experience with Docker or other container technologies and an understanding of container image creation and lifecycle management.
Networking: Solid understanding of TCP/IP, routing, DNS, VLANs, NAT, load balancing, firewalls, and general network troubleshooting.
CI/CD: Experience with modern CI/CD concepts and tools such as GitLab CI/CD, GitHub Actions, Jenkins, or similar platforms.
Infrastructure Automation: Experience scripting or developing automation using at least one of Golang, Python, or TypeScript.
Storage: Understanding of persistent storage, filesystems, block storage, replication, backup, and data recovery concepts.
High Availability: Understanding of redundancy, failover, clustering, health checking, and designing systems without single points of failure.
Version Control: Comfortable working with Git-based development and infrastructure workflows.
Preferred Qualifications
Experience building or operating production Kubernetes clusters on bare-metal infrastructure.
Experience with Kubernetes provisioning and lifecycle tools such as kubeadm, RKE2, Talos Linux, Cluster API, or similar technologies.
Experience with Helm and Kubernetes-based application deployment.
Experience implementing Infrastructure as Code using tools such as Terraform or Ansible.
Experience with Kubernetes networking technologies such as Cilium, Calico, MetalLB, or similar solutions.
Experience with distributed or Kubernetes-native storage technologies such as Ceph, Rook, Longhorn, or similar platforms.
Experience designing multi-site, multi-cluster, or disaster recovery architectures.
Experience with observability technologies such as Prometheus, Grafana, Alertmanager, Loki, OpenTelemetry, or similar tools.
Familiarity with cloud platforms such as GCP, OCI, AWS, or Azure is a plus.
Familiarity with real-time communication systems, VoIP, SIP, RTP, SBCs, or PBX platforms is a plus.
Experience supporting highly available, production-grade services with defined reliability and recovery objectives is a plus.
Programming & Automation
Candidates should be comfortable using software development practices to automate infrastructure and operations.
Preferred languages include
Golang for infrastructure services, Kubernetes tooling, controllers, and high-performance operational components.
Python for automation, scripting, infrastructure integration, and operational tooling.
TypeScript for platform APIs, internal tools, and integration with existing cloud management services.
We are looking for someone who enjoys working across the boundary between infrastructure, networking, software development, and production operations, and who is interested in helping build a reliable and scalable platform for next-generation FortiVoice Cloud services.
The Canada base salary range for this full-time position is expected to be between $92,000- $112,000 annually. Wage ranges are based on various factors including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate’s subject knowledge, skill level, qualifications, and experience.
Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of 100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling, legal advice, mental health resources etc. We also provide critical illness, disability, and life insurance, as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We offer competitive Paid Time Off and flexible leave policies, including paid health days, to help you take care of yourself and your family members.
All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at time of hire and annually at the Company’s discretion.
