Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Flexible vacation policy
- Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being
Company Overview
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