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# Cyber Identity - FDE Engineering Manager

- **Company:** Deloitte T.T.L.
- **Location:** Dayton, OH, 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-dayton-oh-usa-58884624

## About the Role

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

## Description

Experteer Overview In this Engineering Manager role within Deloitte's Digital Trust & Privacy team, you translate client needs into AI-enabled, production-grade solutions and lead hands-on delivery. You'll steer architecture, build reusable accelerators, and drive high-quality outcomes for clients and teams. You'll work at the intersection of client engagement and delivery, shaping pursuits and ensuring resilient, compliant identity and data protection solutions. This is a tech-and-people leadership role in a fast-paced, growth-focused practice. Compensation / Benefits * Translate client business needs into AI-enabled technical solutions aligned to target architecture and delivery objectives * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits via demonstrations, PoCs, prototypes, effort estimates, and pricing inputs * Oversee client delivery scope, timelines, quality, and customer satisfaction; drive continuous improvement * Build team and client capability through reusable accelerators, documentation, and engineering best practices Tasks * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating client requirements into target-state architectures (APIs, microservices, event-driven, serverless) * 5+ years building and deploying production-grade solutions in Python, Java, or Node.js * 2+ years delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/LLM solutions in client/production environments * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements *


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