Cloud Site Reliability Engineer II

Barracuda Networks Inc.•Ann Arbor, MI

21d•Hybrid

About The Position

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.

Requirements

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.

Responsibilities

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.