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# Cyber Identity - FDE Engineering Manager

- **Company:** Deloitte T.T.L.
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **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-atlanta-ga-usa-58884613

## About the Role

engagement * Build team and client capability through accelerators, documentation, knowledge transfer, and 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 (APIs, microservices, event-driven, or serverless) * 5+ years building and deploying production-grade solutions in Python, Java, or Node.js * 2+ years delivering solutions on AWS/Azure/GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/LLM solutions in production or client settings * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * Discretionary annual incentive program * Broad range of benefits (as described) * Commitment to accommodations for people with disabilities

## Description

Experteer Overview In this role you will lead and deliver AI-enabled security engineering solutions within Deloitte's Digital Trust & Privacy practice. You will bridge client needs with target architectures, directing hands-on design, deployment, and operations of production-grade systems. You'll shape pursuits through demos, PoCs, and estimates, while building reusable accelerators and ensuring high-quality outcomes for clients and teams. This is a hands-on leadership role that balances delivery with client engagement and capability-building. Compensation / Benefits * Translate client needs and privacy requirements into AI-enabled solutions aligned to architecture and delivery goals * Lead hands-on design, integration, deployment, and operation of production-grade solutions; troubleshoot technical issues * Shape technical solutions during pursuits via demos, PoCs, prototypes, effort estimation, and pricing inputs * Oversee scope, timelines, quality, and customer satisfaction across engagements * Build team and client capability through accelerators, documentation, knowledge transfer, and 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 (APIs, microservices, event-driven, or serverless) * 5+ years building and deploying production-grade solutions in Python, Java, or Node.js * 2+ years delivering solutions on AWS/Azure/GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/LLM solutions in production or client settings * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * Discretionary annual incentive program * Broad range of benefits (as described) * Commitment to accommodations for people with disabilities


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