Sr. Site Reliability Engineer

CentralReach provides software for autism and IDD care, applied behavior analysis, multidisciplinary therapy, and special education. The Senior Site Reliability Engineer will drive modern reliability practices and own production reliability, observability, incident response, and automation in collaboration with software engineering teams.

Responsibilities:

• Own production reliability, including availability, latency, performance, capacity planning, monitoring, emergency response, and uptime for production environments
• Define, maintain, and improve SLOs, SLIs, error budgets, actionable dashboards, and observability practices
• Analyze, troubleshoot, and resolve operational issues that affect service reliability and SLO performance
• Build and automate multi-environment observability capabilities, including capacity forecasting based on usage patterns
• Reduce toil and increase development velocity through automation and continuous improvement
• Provide production support, including incident, change, and problem management; root cause analysis; service restoration; runbooks; and standard operating procedures
• Identify data-driven opportunities to improve system architecture, availability, performance, and reliability
• Collaborate with software engineering teams on release management, roadmap planning, and operational readiness
• Implement and manage reliability and observability tools such as Datadog, Prometheus, and Grafana

Requirements:

• Experience with monitoring, APM, and observability tools such as Splunk, Prometheus, Datadog, and OpenTelemetry
• Experience implementing observability strategies for logs, metrics, and traces
• Strong understanding of CI/CD practices and tools such as Jenkins, GitHub Actions, GitLab, Argo, and Kargo
• Strong understanding of major cloud providers, preferably AWS, and cloud-native infrastructure concepts
• Strong understanding of containerization technologies, including Kubernetes and Helm
• Experience with one or more programming languages, such as Java, Python, or Go, and familiarity with .NET application development
• Strong understanding of Linux, Windows, software development, systems, networking, and cloud concepts
• Experience using AI to improve productivity and amplify technical skills