> Markdown version of [/jobs/ext/2015181-cyber-identity-fde-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2015181-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:** Costa Mesa, CA, 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, 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-costa-mesa-ca-usa-58884619 ## About the Role * documentation, knowledge transfer, and engineering best practices Tasks * Bachelor's degree in a relevant field or equivalent experience * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target 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 * 6-12 months designing or deploying generative AI/LLM solutions in client or production settings * Ability to travel ~25-50% * Limited immigration sponsorship may be available Key requirements * ## Description Experteer Overview As Engineering Manager on Deloitte Cyber's Digital Trust & Privacy practice, you lead cross-functional delivery of AI-enabled identity, access, and data protection solutions. You'll bridge client needs with production-grade architecture, guiding teams and building reusable accelerators. You shape technical work during pursuits and oversee delivery quality, timelines, and customer satisfaction. This role blends hands-on delivery with strategic leadership to drive impactful security solutions for clients. Compensation / Benefits * Translate client requirements into AI-enabled, target-state architectures and deliverables * Lead the design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits through demos, POCs, prototypes, effort estimation, and pricing * Oversee scope, timelines, quality, and client satisfaction across engagements * Develop team capability and reusable accelerators through documentation, knowledge transfer, and engineering best practices Tasks * Bachelor's degree in a relevant field or equivalent experience * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target 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 * 6-12 months designing or deploying generative AI/LLM solutions in client or production settings * 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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