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# Cyber Identity - FDE Engineering Manager

- **Company:** Deloitte T.T.L.
- **Location:** Richmond, VA, United States
- **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-richmond-va-usa-58884653

## About the Role

in satisfaction; drive continuous improvement across engagements * Build team and client capability via reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * Bachelor's degree in a relevant field (or equivalent demonstrated experience) * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 5+ years translating requirements into target-state architectures using APIs, microservices, event-driven or serverless patterns * 5+ years building and deploying production-grade solutions with 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 solutions in production * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview As Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you lead the design and delivery of AI-enabled security solutions for clients. You bridge client needs with target architectures, guiding hands-on work and shaping solutions during pursuits. You'll mentor teams, develop reusable accelerators, and drive high-quality outcomes in a fast-paced, client-facing environment. This role combines technical execution with strategy to strengthen identity, access, and data protection capabilities at scale. Compensation / Benefits * Translate client business needs into AI-enabled technical solutions aligned to architecture and delivery goals * Lead the hands-on design, integration, deployment, and operation of production-grade solutions; troubleshoot technical issues * Shape technical solutions during pursuits through demos, proofs of concept, prototypes, effort estimation, and pricing inputs * Oversee client delivery scope, timelines, quality, and customer satisfaction; drive continuous improvement across engagements * Build team and client capability via reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * Bachelor's degree in a relevant field (or equivalent demonstrated experience) * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 5+ years translating requirements into target-state architectures using APIs, microservices, event-driven or serverless patterns * 5+ years building and deploying production-grade solutions with 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 solutions in production * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *


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