Senior Cloud & Reliability Architect – AI-Driven Infra

EY; Arlington (VA); Hybrid; USD 180,000 - 320,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off and flexible vacation

Job summary

EY is seeking a senior cloud engineering leader to advance AI-enabled services. You will shape secure, observable, cost-aware foundations and guide architecture decisions across distributed systems.

This is a senior individual contributor role requiring deep technical influence and hands-on infrastructure work. In Challenger, you will build scalable platforms, mentor engineers, and drive production readiness while advancing AI-assisted engineering practices.

Qualifications

• Bachelor’s degree in a relevant field.
• 9-12+ years of relevant experience.
• Experience designing and operating cloud, infrastructure, platform, or site reliability capabilities in production.
• Hands-on expertise with infrastructure as code, modern runtime platforms, networking, identity, and delivery automation.
• Production reliability: defining service objectives and using observability, capacity planning, and recovery testing.
• Incident leadership and fault analysis experience.
• Ability to mentor engineers and influence architecture without formal delivery ownership.

Responsibilities

• Build shared cloud foundations. Create reusable infrastructure, environment patterns, and deployment automation that help teams start quickly and operate consistently.
• Use AI-assisted engineering responsibly. Apply AI tools to accelerate development and investigation while independently reviewing, debugging, testing, and validating the resulting code.
• Guide complex designs. Review architectures, migrations, and releases where trade-offs affect reliability, security, performance, cost, or multiple use cases.
• Strengthen production readiness. Define the evidence required before launch and identify what must change when a service is not ready to operate reliably.
• Set reliability practices. Establish service objectives, observability standards, actionable alerts, and operational reviews that connect system behavior to user outcomes.
• Make cost and capacity visible. Test workload assumptions and use performance, consumption, and demand evidence to guide scaling and architecture decisions.

Skills

Cloud infrastructure

Production reliability

Observability and monitoring

AI workload awareness

Cross-team influence

Technical leadership

Education

Bachelor’s Degree in a relevant field

Tools

Terraform

Kubernetes

CI/CD pipelines

Job description

EY is seeking a senior cloud engineering leader to advance AI-enabled services. You will shape secure, observable, cost-aware foundations and guide architecture decisions across distributed systems.

This is a senior individual contributor role requiring deep technical influence and hands-on infrastructure work. In Challenger, you will build scalable platforms, mentor engineers, and drive production readiness while advancing AI-assisted engineering practices.