Manager, Site Reliability Engineering

About the Company

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe.

Responsibilities

• Lead and grow a team of site reliability engineers, providing guidance, mentorship, and career development
• Mature SRE practices including SLOs, SLIs, error budgets, toil reduction, and blameless post-mortems
• Oversee the end-to-end incident management lifecycle, including detection, response, and resolution
• Design on-call rotations, runbooks, and escalation procedures
• Drive reductions in MTTR and MTTD through improved observability and intelligent automation
• Build automation to eliminate manual operational work such as provisioning, deployment, and scaling
• Implement chaos engineering practices to validate system resilience
• Partner with engineering and product teams to embed reliability into the development lifecycle
• Collaborate with observability teams to ensure comprehensive instrumentation and actionable dashboards
• Measure and report reliability improvements to technical and executive stakeholders

Requirements

• Bachelor’s degree in Engineering or a related field, or equivalent experience
• 7+ years in SRE, DevOps, or infrastructure engineering
• At least 1 year in people management or tech lead experience
• Hands-on experience running production systems on Azure (AKS, App Services, Service Bus, Event Grid, Azure Monitor)
• Proven track record implementing SRE practices and modern observability platforms (Datadog, Prometheus/Grafana)
• Experience leading incident response for high-severity production issues
• Strong background in automation and Infrastructure as Code (Terraform, Bicep)
• Production-grade experience with Kubernetes container orchestration
• Ability to automate workflows using Python, Bash, PowerShell, or Go
• Strong communication skills for technical and executive audiences
• Data-driven approach to decision making

Preferred Qualifications

• Experience with AI coding assistants and CI/CD systems (GitHub Actions, Azure DevOps, ArgoCD)
• Knowledge of distributed systems patterns
• Exposure to AIOps platforms or using LLMs for operational automation