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# Cyber Identity - FDE Engineering Manager

- **Company:** Deloitte T.T.L.
- **Location:** Raleigh, NC, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Node.Js, Public Key Infrastructure, Large Language Models, Software Version Control, Serverless Computing, Microservices
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-identity-fde-engineering-manager-raleigh-nc-usa-58884650

## About the Role

technical improvement * Develop team capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures using REST, microservices, event-driven, or serverless patterns * 5+ years building and deploying production-grade solutions using Python, Java, or Node.js * 2+ years delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6 months to 1 year designing or deploying generative AI/LLM in client or production environments * Willingness to travel 25-50% * Equivalent demonstrated experience if degree evidence is limited * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview As Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will lead AI-enabled engineering solutions to address identity, access, and data protection challenges. You'll blend client engagement with hands-on delivery, shaping architecture, building production-grade systems, and driving reusable accelerators. You'll guide teams, manage delivery quality, and contribute to pursuits with demos, POCs, and estimates. This role offers meaningful impact at scale in a fast-paced, collaborative environment. Compensation / Benefits * Translate client needs into AI-enabled solutions aligned to target architecture and delivery goals * Lead the design, integration, deployment, and operation of production-grade solutions, including troubleshooting * Shape technical solutions during pursuits via demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs * Manage client delivery across scope, timelines, quality, and satisfaction with continuous improvement * Develop team capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures using REST, microservices, event-driven, or serverless patterns * 5+ years building and deploying production-grade solutions using Python, Java, or Node.js * 2+ years delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6 months to 1 year designing or deploying generative AI/LLM in client or production environments * Willingness to travel 25-50% * Equivalent demonstrated experience if degree evidence is limited * Limited immigration sponsorship may be available Key requirements *


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