Staff App Ops Engineer - Cloud Reliability & AI Ops

Intuit

New York (NY)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Intuit is seeking a Staff App Ops Engineer to lead operational excellence and site reliability for the always-on Fintech platform serving millions of customers. You will own incident response and design scalable cloud-native data systems to deliver reliable services at scale.

You will collaborate across teams, drive resiliency practices, and mentor engineers while expanding expertise in AWS, Kubernetes, and CI/CD in a fast-paced environment.

Qualifications

  • 8+ years building and operating infrastructure in AWS with SRE discipline.
  • Deep AWS and Kubernetes expertise with high-availability and DR strategies.
  • Proficiency in a modern language for app DevOps automation (Go, Java, Python, or Ruby).
  • Strong observability, performance tuning, and incident management experience.
  • Experience leading cross-team initiatives and driving resiliency practices.

Responsibilities

  • Own 'always-on' reliability at scale across distributed systems on AWS.
  • Architect cloud-native data systems with high availability and security.
  • Build AI-powered tools to auto-detect, triage, and remediate issues.
  • Lead incident response and Production Support, including on-call rotation.
  • Drive resiliency and chaos engineering practices and disaster recovery runbooks.

Skills

Operational excellence
Site reliability
Cloud architecture
Go / Java / Python / Ruby
CI/CD pipelines
Leadership
Incident response
Observability

Tools

AWS
Kubernetes
Docker
ArgoCD
Splunk
Prometheus
AI/ML tooling

Job description

Intuit is seeking a Staff App Ops Engineer to lead operational excellence and site reliability for the always-on Fintech platform serving millions of customers. You will own incident response and design scalable cloud-native data systems to deliver reliable services at scale.

You will collaborate across teams, drive resiliency practices, and mentor engineers while expanding expertise in AWS, Kubernetes, and CI/CD in a fast-paced environment.

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