Site Reliability Engineer

• Write and contribute to code that improves service reliability and observability
• Develop tools, operational APIs and automation to improve system management
• Establish proactive monitoring and alerting across complex platforms
• Implement service instrumentation using OpenTelemetry
• Build sophisticated dashboards using Grafana, Splunk and New Relic
• Automate manual processes and reduce operational toil
• Work with Infrastructure as Code and orchestration technologies
• Support live incident resolution and contribute to post-mortem analysis
• Carry out root cause analysis and implement effective remediation
• Drive initiatives to improve system reliability, performance and observability
• Maintain and administer existing monitoring and analytics platforms
• Work with IT Operations to provide critical tooling and capabilities
• Share knowledge and mentor colleagues on new technologies and practices
• Use AI tools, LLM platforms and coding assistants in day-to-day work to improve productivity, reduce toil and explore new approaches to autonomous operations, telemetry and system health

Technologies:

• AI
• Ansible
• Golang
• Grafana
• Incident Management
• Support
• LLM
• OpenTelemetry
• PagerDuty
• Python
• Splunk
• Terraform
• JavaScript

• Strong software engineering experience, particularly with Python or Golang
• Experience with monitoring, alerting and observability
• Knowledge of OpenTelemetry and modern observability practices
• Experience establishing proactive monitoring and alerting for complex platforms
• Strong understanding of SRE principles, including SLIs and SLOs
• Experience with modern software development practices and lifecycles
• Proficiency in shell scripting
• Experience with Infrastructure as Code, automation and orchestration, ideally using Terraform and Ansible
• Experience with tools such as Grafana, Splunk, New Relic and PagerDuty
• Experience working within large-scale, 24/7 enterprise environments where availability and stability are critical
• Strong incident management, troubleshooting and root cause analysis experience
• Hands-on experience using LLM platforms and coding assistants to improve productivity and quality
• Experience or interest in using AI for telemetry, predictive insights and root-cause analysis