> Markdown version of [/jobs/ext/2014554-cyber-identity-fde-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2014554-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:** Portland, OR, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Node.Js, Public Key Infrastructure, Large Language Models, Restful APIs, Software Version Control, Serverless Computing, Microservices - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/cyber-identity-fde-engineering-manager-portland-or-usa-58884642 ## About the Role Manage client delivery by overseeing scope, timelines, quality, customer satisfaction, and 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, or Data Protection) * 5+ years translating client requirements into target-state architectures (REST APIs, microservices, event-driven, or serverless) * 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 months to 1 year designing/deploying generative AI or LLM solutions in client or production environments * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Description Experteer Overview In Deloitte Cyber's Digital Trust & Privacy practice, you will lead the engineering effort to translate client needs into AI-enabled, production-grade identity, access, and data protection solutions. You will operate at the intersection of client engagement and hands-on delivery, shaping architectures, deploying systems, and driving reusable accelerators. You will mentor teams, oversee delivery quality, and foster continuous improvement across engagements. This role offers meaningful impact by advancing AI-driven cyber services within a trusted consulting environment. Compensation / Benefits * Translate client business 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; troubleshoot issues within scope * Shape technical solutions during pursuits through demos, proofs of concept, prototypes, effort estimation, and pricing inputs * Manage client delivery by overseeing scope, timelines, quality, customer satisfaction, and 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, or Data Protection) * 5+ years translating client requirements into target-state architectures (REST APIs, microservices, event-driven, or serverless) * 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 months to 1 year designing/deploying generative AI or LLM solutions 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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