Cyber Identity - Fde Engineering Manager

Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, focusing on AI-enabled identity, access, and data protection solutions. The role involves leading teams, architecting, building, and deploying production-grade AI solutions for clients, and managing client delivery.

What you'd actually do

  1. Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  2. Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  3. Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  4. Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  5. Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

Skills

Required

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment

Nice to have

  • Front-end / full-stack breadth — JavaScript/TypeScript and a modern UI framework (React / Next.js)

What the JD emphasized

  • AI-enabled technical solutions
  • production-grade solutions
  • generative artificial intelligence or large language model solutions

Other signals

  • AI-enabled engineering solutions
  • architect, build, and deploy production-grade solutions
  • designing or deploying generative artificial intelligence or large language model solutions