Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist
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Job description
Experteer Overview In this Senior Consultant role, you translate client needs into AI-enabled, production-grade security solutions within Deloitte’s Digital Trust & Privacy practice. You will lead hands-on delivery, architecting and deploying systems while shaping pursuits and building reusable accelerators. You’ll manage client delivery, collaborate with cross-functional teams, and mentor others to raise capability. This role offers exposure to AI-driven cyber services that strengthen resilience in a changing threat landscape. Compensation / Benefits * Translate client requirements into target-state AI-enabled solutions aligned to architecture and delivery goals * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits via demos, prototypes, effort estimation, and pricing inputs * Oversee scope, timelines, quality, and customer satisfaction across engagements * Develop reusable accelerators, documentation, and engineering best practices to elevate team capability Tasks * Bachelor’s degree in computer science, engineering, information technology, cybersecurity, or related field; or equivalent experience * 5+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 3+ years translating client requirements into architecture using APIs, microservices, event-driven or serverless patterns * 3+ years building and deploying production-grade solutions using Python, Java, or Node.js * 1+ year delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6 months to 1 year designing or deploying generative AI/LLM solutions in production * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *
Requirements
accelerators. and engineering best practices to elevate team capability Tasks * Bachelor’s degree in computer science, engineering, information technology, cybersecurity, or related field; or equivalent experience * 5+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 3+ years translating client requirements into architecture using APIs, microservices, event-driven or serverless patterns * 3+ years building and deploying production-grade solutions using Python, Java, or Node.js * 1+ year delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6 months to 1 year designing or deploying generative AI/LLM solutions in production * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *
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