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Added 19 mins ago
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Barracuda Networks Inc.

Cloud Site Reliability Engineer II

Ottawa, ON, Canada

Pay: The anticipated salary range for this role is $100,000 CAD to $120,000 CAD.
Posting language: English
Posted: Sep 21, 2026

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Original job description

Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use.

We are committed to a candidate selection process and work environment that is inclusive and barrier free. To ensure candidates are assessed in a fair and equitable manner, accommodations will be provided to prospective employees in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.

Envision yourself at Barracuda

As a Cloud Site Reliability Engineer II on the CloudOps Platform team, you will focus on the observability, monitoring, dashboards, and automation systems that power Barracuda’s next-generation multi-Tenant Kubernetes platform. While your primary mission centers on delivering deep operational visibility, reliable telemetry pipelines, and proactive alerting, you will also play a key role in improving the broader Kubernetes platform running across AWS and Azure.

Our team values collaborative knowledge sharing, automated reliability, and modern engineering practices. We actively embrace AI-assisted workflows (Claude Code, OpenCode, Codex CLI) to accelerate development, diagnostics, and routine platform maintenance. In this role, you will build and operate centralized observability stacks (Grafana, Loki, Mimir, Tempo), create actionable dashboards, automate telemetry via GitOps and Terragrunt, and partner with internal engineering teams to optimize application reliability in production.

Tech Stack Exposure:

Observability & Monitoring: Grafana, Prometheus / Mimir, Loki, Tempo, OpenTelemetry / Grafana Alloy, Sloth (SLOs), Alertmanager
Orchestration & Compute: Kubernetes (AWS EKS, Azure AKS), Helm, Kustomize
IaC & Cloud Provisioning: Terragrunt, Terraform
GitOps & CI/CD: ArgoCD, GitHub Actions
Public Clouds: Amazon Web Services (AWS), Microsoft Azure
Languages & Scripting: Python, Bash (Go is a plus)
AI Developer Tooling: Claude Code, OpenCode, Codex CLI, GitHub Copilot

What you’ll be working on

Operating, scaling, and automating our centralized LGTM telemetry infrastructure (Loki for logs, Mimir/Prometheus for metrics, Tempo for distributed tracing, and Grafana for unified visualization).
Designing intuitive, high-impact Grafana dashboards and executive health overviews for platform services, Kubernetes clusters, and tenant workloads.
Establishing reliable alerting strategies, SLO/SLI tracking (via Sloth), and notification routing to detect and resolve degradation before it impacts production systems.
Automating the deployment of log collectors, metric exporters, and monitoring agents across multi-cluster EKS and AKS environments using GitOps (ArgoCD) and Terragrunt.
Directly contributing to core MTK Kubernetes platform health, performance tuning, and infrastructure modernization.
Leveraging modern AI coding tools (Claude Code, OpenCode, Codex CLI) to build automation, diagnostic tooling, and operational scripts.
Collaborating closely with internal product and tenant teams to assist with observability onboarding, distributed tracing instrumentation, and performance troubleshooting.

What you bring to the role

2–4 years of experience working with public cloud infrastructure (AWS and/or Azure) with a strong passion for observability, monitoring, and systems reliability.
1–2+ years of hands-on experience deploying, operating, or troubleshooting containerized workloads in Kubernetes (EKS/AKS).
Practical experience configuring, operating, or building dashboards in modern observability stacks (Grafana, ELK, Splunk, etc).
Working knowledge of Infrastructure as Code using Terraform and/or Terragrunt, and GitOps delivery workflows (ArgoCD or Flux).
Solid scripting skills in Python or Bash for system automation, telemetry pipelines, and operational tooling (Go is a plus).
Curiosity and eagerness to leverage AI coding agents (Claude Code, OpenCode, Codex CLI, GitHub Copilot) in everyday engineering workflows.
Strong analytical troubleshooting instincts, clear communication skills, and a collaborative team mindset.

What you’ll get from us

A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda.

Equity, in the form of non-qualifying options
High-quality health benefits
Retirement Plan with employer match
Career-growth opportunities
Flexible Time Off and Paid Time Off benefits
Volunteer opportunities

What you’ll get from us:

The anticipated salary range for this role is $100,000 CAD to $120,000 CAD. Actual compensation offered will be dependent upon the individual's skills, experience, and qualifications as they directly relate to the requirements of the position, the budget for the position, and applicable employment law.

Location: Ottawa, ON

27-0459(a)

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More about this job

Responsibilities

You will operate and scale centralized observability stacks including Loki, Mimir, and Tempo while automating telemetry pipelines across multi-cluster Kubernetes environments. Additionally, you will design high-impact dashboards and collaborate with internal teams to optimize application reliability and performance.

Requirements

Candidates should have 2–4 years of experience with public cloud infrastructure and 1–2+ years of hands-on experience with containerized workloads in Kubernetes. Proficiency in scripting with Python or Bash and experience with Infrastructure as Code tools like Terraform or Terragrunt is required.

Skills

Kubernetes
AWS
Azure
Grafana
Prometheus
Terraform
Terragrunt
ArgoCD
Python
Bash
Observability
Site reliability engineering
GitOps
Telemetry
Automation
Kubernetes platform

Benefits

Health benefits
Retirement plan with employer match
Equity
Flexible time off
Paid time off
Internal mobility
Volunteer opportunities

Visa sponsorship

Not detected in the job text

Keywords

Cloud Site Reliability Engineer
Kubernetes
AWS
Azure
Grafana
Prometheus
Mimir
Loki
Tempo
OpenTelemetry
Terragrunt
Terraform
ArgoCD
GitHub Actions
Python
Bash
Go
GitOps
Observability
Telemetry
EKS
AKS
AI-assisted workflows
Cybersecurity
Infrastructure as Code
CloudOps
Multi-tenant
SLO
SLI
Distributed tracing

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