Senior Cloud & SRE Engineer — AI-Driven Infra

EY

New Orleans (LA)

Hybrid

USD 144,000 - 329,000

Full time

44 hours ago
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Benefits offered by this job

Medical and dental coverage
Flexible vacation policy
Hybrid work options

Job summary

EY is seeking a senior engineering lead to establish secure, observable cloud foundations for AI-enabled services. You will guide architecture decisions, review complex designs, and drive production readiness across multiple use cases in a hybrid office setup.

You will use AI-assisted tools to accelerate infrastructure work, verify results, and mentor teams while maintaining cost-aware, scalable solutions. 50% travel and hybrid office work are expected.

Qualifications

  • Bachelor’s degree in a relevant field and extensive cloud/production experience.
  • 9+ years designing and operating cloud, infrastructure, or site reliability capabilities.
  • Hands-on with infrastructure as code, modern runtimes, networking, identity, and automation.
  • Experience defining service objectives and using observability to improve live systems.
  • Ability to mentor engineers and influence architecture without formal ownership.

Responsibilities

  • Build shared cloud foundations with reusable infrastructure and deployment automation.
  • Apply AI-assisted engineering and review results for reliability and cost.
  • Review architectures, migrations and releases considering reliability and security.
  • Define evidence for production readiness and ensure operational excellence.
  • Establish service objectives, observability, and actionable alerts.
  • Lead investigations of failures and guide durable fixes.
  • Publish reference implementations and runbooks for reuse.
  • Coach engineers and transition capabilities to ongoing owners.

Skills

Cloud infra
Distributed systems
AI workload awareness
Observability
Technical influence

Education

Bachelor’s degree

Tools

Terraform
Kubernetes
CI/CD

Job description

EY is seeking a senior engineering lead to establish secure, observable cloud foundations for AI-enabled services. You will guide architecture decisions, review complex designs, and drive production readiness across multiple use cases in a hybrid office setup.

You will use AI-assisted tools to accelerate infrastructure work, verify results, and mentor teams while maintaining cost-aware, scalable solutions. 50% travel and hybrid office work are expected.

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