Site Reliability Engineering Lead

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Role Summary

Lead reliability engineering for business-critical manufacturing platforms, owning SLOs, observability, CI/CD, infrastructure automation, incident management and production readiness. Lead AI/Agentic-AI reliability covering model/agent observability, AIOps, drift monitoring, workflow guardrails and GenAI-assisted incident response.

Key Responsibilities

• Define SLI/SLO/SLA and error budgets; align release velocity with reliability targets.
• Build observability across metrics, logs and traces using Splunk, Datadog, Prometheus and Grafana.
• Create actionable alerts and dashboards that reduce alert fatigue.
• Develop Jenkins CI/CD pipelines and evaluate GitOps/Argo CD.
• Manage GCP infrastructure with Terraform; operate Docker/Kubernetes workloads.
• Conduct load/stress testing and production-readiness reviews.
• Own incident response, on-call, MTTA/MTTR, postmortems, runbooks and improvement.
• Monitor model-serving, agent orchestration and RAG systems for availability, latency, task success and drift.
• Define AI SLOs and safeguards including auditing, human-in-the-loop escalation and runaway-agent circuit breakers.
• Implement AIOps for anomaly detection, predictive alerts, automated triage and GenAI-assisted RCA/runbooks.
• Reduce operational toil through automation; collaborate across platform, manufacturing, data/AI and IT teams; mentor engineers.
• Provide weekly reliability, incident and KPI reporting.
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