Senior Cloud & Reliability Architect (AI-Driven)

EY; Chicago (IL); Hybrid; USD 144,000 - 374,000; Full time

Job summary

EY Challenger program seeks a senior cloud engineering leader who will serve as the hands-on technical authority for secure, observable cloud foundations. You will apply AI-assisted tooling to accelerate infrastructure work while guiding architecture and cost across multiple use cases.

This role emphasizes production readiness, reliability, and cross-team collaboration in a hybrid US environment with travel up to 50%.

Qualifications

• Bachelor’s degree and 9–12+ years in cloud/infrastructure.
• Experience designing and operating cloud, infrastructure, or site reliability in production.
• Deep cloud engineering with IaC, runtimes, networking, identity, and automation.
• Production reliability: define service objectives and use observability to improve live systems.
• Incident leadership: investigate failures and drive durable remediation.
• Automation judgment: strong coding skills and validating AI outputs.
• Cross-team influence: mentor engineers and guide readiness decisions.
• Travel up to 50% and hybrid onsite in the US.

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.
• Resolve difficult failures. Lead deep investigation across distributed services and integrations, verify root causes against system evidence, and test durable fixes.
• Prove resilience. Design performance tests, failure simulations, recovery exercises, and rollback paths that show how services behave under stress.
• Turn lessons into reusable capabilities. Publish tested reference implementations, guidance, and runbooks that state both the intended use and important limitations.
• Raise engineering capability. Coach engineers, challenge assumptions constructively, and transition proven capabilities to ongoing owners with clear operating responsibilities.

Skills

Cloud expertise

Hands-on engineering

Diagnostic judgment

Reliability leadership

AI workload awareness

Technical influence

Education

Bachelor’s Degree in a relevant field

Job description

EY Challenger program seeks a senior cloud engineering leader who will serve as the hands-on technical authority for secure, observable cloud foundations. You will apply AI-assisted tooling to accelerate infrastructure work while guiding architecture and cost across multiple use cases.

This role emphasizes production readiness, reliability, and cross-team collaboration in a hybrid US environment with travel up to 50%.