CT Engineering - Forward-Deployed Engineer (FDE) - EY GDS

Job description

EY Fabric Growth & Adoption is responsible for driving real-world adoption of EY Fabric products by working at the intersection of: Client needs and feedback Platform capabilities Product evolution The team focuses on removing friction, accelerating delivery, and feeding improvements back into the platform , ensuring that client-driven solutions become reusable, scalable, and integrated into core product offerings. Responsibilities Client-Driven Delivery Partner with PreSales and client-facing teams to capture real-world friction points and unmet requirements. Analyze root causes and define pragmatic solutions (feature improvements, integrations, automations). Deliver working solutions in short cycles ( 1–4 weeks ) and ensure they are merged into product codebases . Solution Design & Implementation Design and implement solutions across infrastructure, scripting, and application layers. Provide technical guidance aligned with platform standards and best practices. Navigate hybrid and cloud-based environments within EY Fabric. Product & Offering Influence Actively review new and existing offerings across Growth & Adoption. Provide structured feedback on solution design, usability, and readiness. Ensure alignment across teams before releases. Continuous Improvement Identify improvement opportunities in high-usage offerings. Contribute fixes, enhancements, or automation to improve adoption and user experience. Feed field learnings back into engineering, documentation, and runbooks. Collaboration & Leadership Work across team boundaries (Product, Engineering, Operations, PreSales). Translate technical scenarios into clear language for business stakeholders. Mentor team members and contribute to shared knowledge and best practices. Skills Core Excellent communication skills (technical and business audiences) Strong documentation and structured communication capabilities Ability to quickly understand complex systems and codebases Technical Broad technical capability ( breadth over depth ) across: Infrastructure and cloud platforms (Azure preferred) Scripting and automation (PowerShell, Python, Bash) Application-level development and integration Strong understanding of: CI/CD and DevOps practices Code and release management (Git, GitHub, Azure DevOps) Experience using AI-assisted development tools to accelerate delivery - MANDATORY Desired Experience Experience working in large organizations with complex processes and dependencies Experience in Agile environments and fast iteration cycles Experience designing, integrating, and supporting solutions at scale Experience in API-driven ecosystems and platform-based architectures Experience working close to clients, PreSales, or product teams Desired Certifications (Optional) Microsoft Azure certifications DevOps or Cloud Architecture certifications Any certification related to automation, infrastructure, or platform engineering What You Bring Who You Are A finisher — you take ownership and ensure work gets completed despite complexity Highly self-directed — you identify next steps without waiting for direction Able to navigate large organizations and remove blockers Precise in execution — you follow instructions and deliver reliably Ways of Working Bias for action — you prioritize delivery over over-analysis Comfortable switching contexts (infra, code, product, AI tooling) Collaborative and aligned with broader platform goals Focused on impact, not just activity Success Looks Like Client friction points are resolved within short delivery cycles Solutions are integrated into product repositories (not left as one-offs) Offerings improve continuously based on field feedback The team is recognized as a trusted technical voice in product and adoption