> Markdown version of [/jobs/ext/2011999-cyber-identity-fde-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2011999-cyber-identity-fde-engineering-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber Identity - FDE Engineering Manager - **Company:** Deloitte T.T.L. - **Location:** Mechanicsburg, PA, 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, Generative AI, AI Platforms, Software Version Control, Serverless Computing, Microservices - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/cyber-identity-fde-engineering-manager-mechanicsburg-pa-usa-58884637 ## About the Role improvement * Build team and client capability via reusable accelerators, documentation, knowledge transfer, and engineering 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 using APIs, microservices, event-driven or serverless designs * 5+ years building and deploying production-grade solutions using 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/large language model solutions in production * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Description Experteer Overview Engineering Manager in Deloitte's Cyber Digital Trust & Privacy practice leads AI-enabled engineering solutions for identity, access, and data protection. You bridge client engagement and delivery, architecting production-grade systems and building reusable accelerators. You guide cross-functional teams, shape proposals, and ensure high-quality outcomes that strengthen client trust. This role offers meaningful work at scale, shaping security-focused AI services in a fast-moving environment. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned to target architecture and delivery objectives * Lead hands-on design, integration, deployment, and operation of production-grade solutions, troubleshooting issues as needed * Shape technical solutions during pursuits through demos, PoCs, prototypes, effort estimation, and pricing inputs * Oversee client delivery across scope, timelines, quality, and customer satisfaction with continuous improvement * Build team and client capability via reusable accelerators, documentation, knowledge transfer, and engineering 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 using APIs, microservices, event-driven or serverless designs * 5+ years building and deploying production-grade solutions using 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/large language model solutions in production * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Related Videos - [Security Pitfalls for Software Engineers](https://www.wearedevelopers.com/videos/726-security-pitfalls-for-software-engineers) - [Stop using Node.js like in 2020! 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