• Design and build workflow automation that removes toil, improves operational consistency, and accelerates incident response
• Develop AI-enabled operational capabilities that improve detection, diagnosis, communication, and recovery workflows
• Build and maintain services, tools, and automations using Python as a primary engineering language
• Use platforms like n8n and adjacent automation tooling to orchestrate operational workflows across systems
• Strengthen observability across metrics, logs, traces, alerting, and service health signals
• Partner with SRE, platform, infrastructure, and service owners to improve
resilience, MTTR, and engineering standards
• Identify repeatable failure patterns and turn them into durable automation,
guardrails, and self-healing opportunities
• Contribute to DevOps practices including CI/CD, release reliability, infrastructure automation, and production readiness
• Raise the technical bar through design reviews, code quality, operational rigor, and mentoring of other engineers.
• Eliminate manual steps in recurring operations processes AI enablement
• Apply AI to operational workflows such as summarization, triage assistance,
intelligent routing, runbook guidance, anomaly context, and post-incident analysis