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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber Identity - FDE Engineering Manager - **Company:** Deloitte T.T.L. - **Location:** Princeton, NJ, 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-princeton-nj-usa-58884652 ## About the Role access, * Build team capability via 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, serverless) * 5+ years building and deploying production-grade solutions (Python, Java, or Node.js) * 2+ years delivering 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 * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Description Experteer Overview In this Engineering Manager role, you drive AI-enabled, production-grade security solutions for clients within Deloitte's Digital Trust & Privacy practice. You'll bridge client needs with technical delivery, leading hands-on design and deployment while shaping pursuits and building reusable accelerators. You'll manage engagements end-to-end and mentor teams to deliver high-quality outcomes, helping clients strengthen identity, access, and data protection. This role combines client collaboration with hands-on engineering in a fast-paced, mission-driven environment. Compensation / Benefits * Translate client needs into AI-enabled architectures and delivery objectives * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits through demos, PoCs, effort estimation, and pricing inputs * Oversee scope, timelines, quality, customer satisfaction, and continuous improvement across engagements * Build team capability via 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, serverless) * 5+ years building and deploying production-grade solutions (Python, Java, or Node.js) * 2+ years delivering 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 * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Related Videos - [Stop using Node.js like in 2020! 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