Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist
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Job description
Experteer Overview In Deloitte Cyber’s Digital Trust & Privacy, you will design and deliver AI-enabled solutions for identity, access, and data protection challenges. You’ll bridge client needs with target architectures, leading hands-on delivery and shaping pursuits with proofs of concept and prototypes. You’ll mentor teams, develop reusable accelerators, and drive high-quality outcomes for clients and engagements. This role offers impact across advisory and delivery, contributing to trusted, production-grade cyber services. Compensation / Benefits * Translate client needs into AI-enabled, target-architecture aligned solutions * Lead hands-on design, integration, deployment, and operation of production-grade solutions * Shape technical solutions during pursuits via demonstrations, PoCs, prototypes, and effort estimation * Manage client delivery including scope, timelines, quality, and satisfaction * Build team capability through accelerators, documentation, and knowledge transfer Tasks * Bachelor in Computer Science or related field * 5+ years in Digital Trust & Privacy domains such as IGA, WAM, PAM, PKI, Directories, or Data Protection * 3+ years translating requirements into architectures using APIs, microservices, event-driven or serverless patterns * 3+ years building and deploying production-grade solutions in Python, Java, or Node.js * 1+ year 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 env * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * inclusive culture * broad range of benefits * professional development * mentorship opportunities * leadership opportunities * reasonable accommodations
Requirements
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- Bachelor in Computer Science or related field * 5+ years in Digital Trust & Privacy domains such as IGA, WAM, PAM, PKI, Directories, or Data Protection * 3+ years translating requirements into architectures using APIs, microservices, event-driven or serverless patterns * 3+ years building and deploying production-grade solutions in Python, Java, or Node.js * 1+ year 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 env * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * inclusive culture * broad range of benefits * professional development * mentorship opportunities * leadership opportunities * reasonable accommodations
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