> Markdown version of [/jobs/ext/2017244-cyber-identity-fde-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2017244-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:** Colorado Springs, CO, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Node.Js, Public Key Infrastructure, Software Version Control, Serverless Computing, Microservices - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/cyber-identity-fde-engineering-manager-colorado-springs-co-usa-58884612 ## About the Role _ continuous improvement * Develop team capability through reusable accelerators, documentation, and engineering 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 (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 large language model solutions in production * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * ## Description Experteer Overview As Engineering Manager in Deloitte's Cyber Digital Trust & Privacy practice, you lead hands-on delivery and client-facing engagements to solve identity, access, and data protection challenges with AI-enabled engineering. You shape solutions during pursuits, build reusable accelerators, and guide teams to high-quality outcomes. You work at the intersection of client impact and engineering delivery, driving production-grade systems in a fast-paced, collaborative environment. This is a chance to influence security outcomes at scale and advance AI-driven cyber services. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned with target architecture * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits through demos, PoCs, prototypes, and effort estimation * Oversee client delivery scope, timelines, quality, and customer satisfaction; drive continuous improvement * Develop team capability through reusable accelerators, documentation, and engineering 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 (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 large language model solutions in production * 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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