Cloud Engineer and Site Reliability (SME) - Senior Manager

EY is hiring a Senior Manager Cloud Engineer and Site Reliability (SME) to serve as a hands-on technical authority for cloud engineering practices supporting AI-enabled services. The role builds shared cloud foundations, strengthens production reliability and resilience, guides complex technical decisions, and helps teams adopt reusable engineering capabilities.

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

Requirements:

• Deep cloud expertise: Strong knowledge of cloud infrastructure and distributed systems, with the ability to reason across system layers
• Hands-on engineering: Ability to write, review, debug, and test infrastructure code, deployment automation, and production services
• Diagnostic judgment: Skill in using telemetry and controlled experiments to distinguish symptoms from causes and verify that a fix works
• Reliability leadership: Practical command of service objectives, capacity, resilience, recovery, incident learning, and operational readiness
• AI workload awareness: Understanding of how model services, retrieval, and agent workflows introduce additional dependencies, failure modes, and costs
• Technical influence: The credibility to explain difficult trade-offs, set standards through evidence, and help teams adopt better engineering practices
• Bachelor's Degree in a relevant field of study
• 9-12+ years of relevant experience
• Substantial experience designing and operating cloud, infrastructure, platform, or site reliability capabilities in production
• A record of solving complex distributed-system problems and explaining why the chosen solution will work
• Hands-on expertise with infrastructure as code, modern runtime platforms, networking, identity, and delivery automation
• Experience defining service objectives and using observability, capacity planning, and recovery testing to improve live systems
• Evidence of investigating difficult failures, supporting response, and converting lessons into durable remediation
• Strong coding skills and the ability to validate AI-generated or otherwise automated engineering output independently
• Experience mentoring engineers and guiding architecture or readiness decisions without relying on formal delivery ownership
• Experience operating model-serving, retrieval, or agent workloads with demanding reliability and performance needs
• Experience designing portable patterns across cloud, hybrid, or multi-region environments
• Experience connecting capacity, latency, throughput, and cost to service design and scaling decisions
• Experience in regulated or confidential environments with formal security, resilience, or evidence requirements
• Practical contributions to cloud-native, infrastructure, SRE, observability, automation, or open-source communities