> Markdown version of [/jobs/ext/2012001-cyber-identity-fde-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2012001-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:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cyber Security, Continuous Integration, Python (Programming Language), Node.Js, Public Key Infrastructure, Large Language Models, Information Technology, Software Version Control, Serverless Computing, Microservices - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/cyber-identity-fde-engineering-manager-san-francisco-ca-usa-58884645 ## About the Role _ continuous improvement * Build team capability via reusable accelerators, documentation, and knowledge transfer Tasks * Bachelor's degree in Computer Science, Engineering, IT, Cybersecurity, or related field or equivalent demonstrated experience * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 5+ years translating client requirements into target-state architectures using APIs, microservices, event-driven or serverless patterns * 5+ years building and deploying production-grade solutions in Python, Java, or Node.js * 2+ years delivering on AWS, Azure, or GCP including containers, CI/CD, and version control * 6 months to 1 year designing or deploying generative AI or LLM solutions in client/production environment * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Description Experteer Overview As Engineering Manager for Deloitte Cyber's Digital Trust & Privacy, you will guide AI-enabled engineering solutions addressing identity, access, and data protection. You'll bridge client needs with producible architectures, lead hands-on delivery, and shape reusable accelerators for scalable outcomes. You'll manage delivery quality and foster team capability while collaborating with cross-functional stakeholders. This role offers impact through building AI-driven cyber services in a trusted professional environment. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned with target architecture and delivery objectives * Lead hands-on design, integration, deployment, and operation of production-grade solutions, diagnosing issues * Shape technical solutions during pursuits through demos, proofs of concept, prototypes, estimations, and pricing inputs * Manage client delivery across scope, timelines, quality, and satisfaction; drive continuous improvement * Build team capability via reusable accelerators, documentation, and knowledge transfer Tasks * Bachelor's degree in Computer Science, Engineering, IT, Cybersecurity, or related field or equivalent demonstrated experience * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 5+ years translating client requirements into target-state architectures using APIs, microservices, event-driven or serverless patterns * 5+ years building and deploying production-grade solutions in Python, Java, or Node.js * 2+ years delivering on AWS, Azure, or GCP including containers, CI/CD, and version control * 6 months to 1 year designing or deploying generative AI or LLM solutions in client/production environment * 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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