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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:** Seattle, WA, 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, Software Version Control, Serverless Computing, Microservices - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/cyber-identity-fde-engineering-manager-seattle-wa-usa-58884651 ## About the Role * Build team capability through accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 7+ years in one or more Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures using REST/APIs, microservices, event-driven or serverless architectures * 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 or large language model solutions in a client or production environment * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Description Experteer Overview As Engineering Manager in Deloitte's Cyber Digital Trust & Privacy practice, you lead AI-enabled engineering efforts to tackle identity, access, and data protection challenges. You'll bridge client needs with production-grade solutions while guiding delivery and shaping reusable accelerators. The role combines hands-on delivery with people leadership to drive high-quality outcomes for clients and teams. You'll work closely with cross-functional teams to advance the firm's AI-driven cyber services and client impact. Compensation / Benefits * Translate client needs and privacy requirements into AI-enabled technical solutions aligned to target architecture * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot within scope * Shape technical solutions during pursuits, including demos, proofs of concept, and effort estimation * Manage client delivery across scope, timelines, quality, and satisfaction; drive continuous improvement * Build team capability through accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 7+ years in one or more Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures using REST/APIs, microservices, event-driven or serverless architectures * 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 or large language model solutions in a client or production environment * 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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