> Markdown version of [/jobs/ext/2015138-cyber-identity-fde-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2015138-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:** Houston, TX, United States - **Experience:** Experienced - **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, Software Version Control, Serverless Computing, Microservices - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/cyber-identity-fde-engineering-manager-houston-tx-usa-58884625 ## About the Role serverless * Build team and client capability via reusable accelerators, documentation, and 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 REST, microservices, event-driven, or serverless patterns * 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/LLM solutions in client or production environments * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Description Experteer Overview In this Engineering Manager role within Deloitte Cyber's Digital Trust & Privacy practice, you'll guide AI-enabled engineering work to tackle identity, access, and data protection challenges. You'll bridge client needs with production-grade solutions, lead delivery teams, and shape reusable accelerators. You'll work across engagements to ensure quality, scope, and timelines while growing client and team capabilities. This role offers hands-on architecture, delivery leadership, and a chance to impact security and privacy at scale. Compensation / Benefits * Translate client needs into AI-enabled architectures aligned to delivery objectives * Lead the design, integration, deployment, and operation of production-grade solutions and troubleshoot issues * Shape technical solutions during pursuits through demonstrations, PoCs, prototypes, effort estimation, and pricing inputs * Oversee client delivery scope, timelines, quality, and customer satisfaction; drive continuous improvement * Build team and client capability via reusable accelerators, documentation, and 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 REST, microservices, event-driven, or serverless patterns * 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/LLM solutions in client or production environments * Willingness 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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