Senior Cloud & Site Reliability Engineer

EY; Baltimore (MD); Hybrid; USD 144,000 - 329,000; Full time

Job summary

EY Challenger is seeking a senior individual contributor to lead cloud reliability efforts, using AI-assisted engineering tools to accelerate infrastructure work. You will guide architecture, performance, resilience, and cost across multiple use cases while reviewing outcomes and ensuring production readiness.

The role emphasizes strong collaboration with global teams, ownership of objectives, and the ability to operate in a hybrid environment with travel up to 50%.

Qualifications

• Bachelor’s degree required and 9–12+ years of relevant experience.
• Substantial design/operating cloud, infra, platform, or site reliability capabilities in production.
• Hands-on infra as code, modern runtimes, networking, identity, and delivery automation.
• Experience defining service objectives and using observability and capacity planning to improve live systems.
• Smart coding with ability to validate AI-generated or automated engineering output.

Responsibilities

• Build shared cloud foundations with reusable infrastructure and deployment automation.
• Apply AI-assisted engineering to accelerate development while reviewing, debugging, and testing code.
• Review architectures, migrations, and releases for reliability, security, performance, and cost.
• Define evidence for production readiness and identify changes for reliability.
• Establish service objectives, observability standards, and actionable alerts.

Skills

Cloud engineering

Reliability leadership

Incident leadership

Automation judgment

AI workload awareness

Technical influence

Cross-team influence

Travel requirements

Education

Bachelor’s Degree in a relevant field of study

Tools

Terraform

Kubernetes

CI/CD pipelines

Job description

EY Challenger is seeking a senior individual contributor to lead cloud reliability efforts, using AI-assisted engineering tools to accelerate infrastructure work. You will guide architecture, performance, resilience, and cost across multiple use cases while reviewing outcomes and ensuring production readiness.

The role emphasizes strong collaboration with global teams, ownership of objectives, and the ability to operate in a hybrid environment with travel up to 50%.