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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:** San Antonio, TX, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Java (Programming Language), 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-antonio-tx-usa-58884649 ## About the Role and engineering best practices Tasks * Bachelor's degree in Computer Science, Engineering, IT, Cybersecurity, or related field (or equivalent experience) * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures (REST, microservices, event-driven, serverless) * 5+ years building/deploying production-grade solutions (Python, Java, or Node.js) * 2+ years delivering solutions on AWS, Azure, or GCP (containers, CI/CD, version control) * 6-12 months designing/deploying AI/LLM in client/production environments * Ability 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 will lead hands-on delivery of AI-enabled engineering solutions addressing identity, access, and data protection. You will mentor teams, shape technical strategies, and deliver production-grade outcomes for clients. The role blends client engagement with technical execution, building reusable accelerators and driving quality. You will work with cross-functional teams to scale secure, privacy-forward technology in a fast-paced environment. Compensation / Benefits * Translate client needs into AI-enabled architectures and delivery plans * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits through demos, PoCs, and estimates * Oversee client delivery scope, timelines, quality, and satisfaction; drive continuous improvement * Develop team capability via accelerators, documentation, and engineering best practices Tasks * Bachelor's degree in Computer Science, Engineering, IT, Cybersecurity, or related field (or equivalent experience) * 7+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 5+ years translating requirements into target-state architectures (REST, microservices, event-driven, serverless) * 5+ years building/deploying production-grade solutions (Python, Java, or Node.js) * 2+ years delivering solutions on AWS, Azure, or GCP (containers, CI/CD, version control) * 6-12 months designing/deploying AI/LLM in client/production environments * 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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