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# Cyber Identity - FDE Engineering Manager

- **Company:** Deloitte T.T.L.
- **Location:** McLean, VA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), 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-mclean-va-usa-58884639

## About the Role

and capability via reusable accelerators, documentation, and knowledge transfer Tasks * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures (APIs, microservices, event-driven or serverless) * 5+ years building and deploying production-grade solutions (Python, Java, or Node.js) * 2+ years delivering solutions on AWS, Azure, or GCP (containers, CI/CD, version control) * 6-12 months designing or deploying generative AI/LLM solutions in client or production environments * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview In this Engineering Manager role within Deloitte Cyber's Digital Trust & Privacy practice, you guide AI-enabled engineering solutions for identity, access, and data protection challenges. You'll blend client engagement with hands-on delivery, shaping architectures, building production-grade systems, and driving reusable accelerators. You'll lead teams, oversee delivery quality, and contribute to pursuits with demonstrations and proofs of concept. This is a chance to influence strategic security outcomes at scale while growing capability across engagements. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned with target architecture * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits through demonstrations, PoCs, prototypes, and effort estimation * Manage client delivery across scope, timelines, quality, and satisfaction * Build team capability via reusable accelerators, documentation, and knowledge transfer Tasks * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures (APIs, microservices, event-driven or serverless) * 5+ years building and deploying production-grade solutions (Python, Java, or Node.js) * 2+ years delivering solutions on AWS, Azure, or GCP (containers, CI/CD, version control) * 6-12 months designing or deploying generative AI/LLM solutions in client or production environments * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *


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