Staff Site Reliability Engineer

📋 Description

• Set AI-centered reliability strategy; define SLIs, SLOs, and error budgets across services.
• Redesign the incident lifecycle around AI-assisted speed; lead high-severity incident response.
• Improve on-call through automation; build AI agents that draft runbooks.
• Push AI-first operations into product engineering workflows.
• Architect for resilience at scale across EarnIn's AWS footprint (EKS, Kafka, DynamoDB, RDS, SQS).
• Mentor engineers; raise reliability standards; build docs and tooling.

🎯 Requirements

• 7+ years in SRE or related roles with KPI-driven reliability.
• Experience applying AI/LLMs to production workflows (alert triage, runbooks, investigations).
• Deep SLOs/SLIs, error budgets, and blameless postmortems at scale.
• Software engineering ability (Python, Go) building tools and automation.
• Observability expertise (Datadog, CloudWatch, OpenTelemetry).
• IaC proficiency (Terraform, Kubernetes, AWS) with safe deployments.
• Proficiency with AI-assisted development tools (Cursor, Claude Code, Copilot).
• Fintech or regulated environment experience (SOC 2, PCI) a plus.

🎁 Benefits

• Equity and benefits.
• Hybrid work; in-office 2 days/week in Mountain View.
• Professional growth opportunities.
• HQ Mountain View, CA.