Cyber Identity - FDE Engineering Manager

Experteer Overview In Deloitte’s Digital Trust & Privacy practice, you drive AI-enabled engineering solutions to address identity, access, and data protection challenges. You lead hands-on delivery while shaping architecture and pursuing opportunities. You build reusable accelerators, mentor teams, and ensure high-quality client outcomes. This role blends client engagement with delivery to scale capabilities in a dynamic security-focused environment. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned to target architecture and delivery objectives * Lead hands-on design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits via demos, PoCs, prototypes, estimation, and pricing inputs * Oversee client delivery scope, timelines, quality, and customer satisfaction; drive continuous improvement * Build team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 7+ years in Digital Trust & Privacy domains (e.g., IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures using REST APIs, microservices, event-driven or serverless * 5+ years building and deploying production-grade solutions using Python, Java, or Node.js * 2+ years delivering solutions on AWS/Azure/GCP with containers, CI/CD pipelines, and version control * 6 months to 1 year designing or deploying generative AI/LLM in client or production settings * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * Discretionary annual incentive program * Broad range of benefits * Commitment to accommodations for people with disabilities * Professional development opportunities

lead knowledge transfer, and engineering best practices Tasks * 7+ years in Digital Trust & Privacy domains (e.g., IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures using REST APIs, microservices, event-driven or serverless * 5+ years building and deploying production-grade solutions using Python, Java, or Node.js * 2+ years delivering solutions on AWS/Azure/GCP with containers, CI/CD pipelines, and version control * 6 months to 1 year designing or deploying generative AI/LLM in client or production settings * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * Discretionary annual incentive program * Broad range of benefits * Commitment to accommodations for people with disabilities * Professional development opportunities