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Tech Stack
Tools & technologiesCloudDistributed SystemsKubernetes
About the role
Key responsibilities & impact- Run daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives across engineering teams
- Track in-flight work through completion and surface slippage promptly
- Ensure blocked work is unblocked and hold engineers accountable to dated commitments and definitions of done
- Evaluate estimates, decomposition, complexity claims, engineering risks, and scope
- Translate architecture intent, phase gates, and platform requirements into sized stories with clear acceptance criteria
- Own sprint and release planning across the phased platform build
- Coordinate dependencies across platform and infrastructure, runtime and observability, data and state, trust infrastructure, security, and AFE delivery cells
- Maintain delivery risks, dependencies, critical path, and mitigation actions
- Report velocity, throughput, cycle time, flow efficiency, escaped defects, and progress against phase gates
- Protect engineers’ focus from interruptions, scope injection, and competing stakeholder demands
- Partner with engineering leads and architects on sequencing, staffing, and technical direction
- Drive day-to-day execution of engineering teams building EY’s Agentic AI platform, including Kubernetes/GPU infrastructure, CI/CD pipelines, model serving and routing, agent orchestration, and data/state layers
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or demonstrably equivalent depth
- 7+ years in technical delivery, engineering project or program management, or Scrum Master roles supporting software engineering teams, with direct accountability for delivery outcomes
- Prior hands-on experience as a software or platform engineer, or demonstrably equivalent technical depth
- Ability to evaluate engineering estimates, work decomposition, and technical risk independently and challenge them constructively with evidence
- Proven experience running Scrum or Kanban for teams of experienced engineers, owning the full set of ceremonies and backlog health
- Experience delivering complex, multi-team technical programs with hard cross-team dependencies and phased delivery gates
- Working fluency with Kubernetes and containers, CI/CD, infrastructure-as-code, distributed systems, and API design
- Hands-on experience with Jira or equivalent, Git-based workflows, and delivery metrics
- Evidence of holding delivery teams to timelines and quality standards while retaining trust and engagement
- Ability to communicate delivery status, risk, and trade-offs to senior stakeholders with clarity and candour
- Ideally: experience delivering AI or agentic AI systems
- Ideally: experience running delivery for platform or infrastructure teams
- Ideally: experience with cost-aware delivery, quota and capacity planning, or FinOps practices
- Ideally: Scrum or Agile certification (CSM, PSM, SAFe, or equivalent)
- Ideally: experience in regulated delivery environments
- Ideally: experience introducing and improving flow metrics
- Ideally: exposure to multi-environment delivery across cloud, on-prem, edge, client-managed, and air-gapped targets
Benefits
Comp & perks- Medical and dental coverage
- Pension and 401(k) plans
- Flexible vacation policy
- EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care leave
- Other leaves of absence
- Professional growth opportunities
- Inclusive culture
- Compensation based on performance and value brought to the business