Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+2 more
Job description
Experteer Overview In this Senior Consultant role within Deloitte Cyber’s Digital Trust & Privacy practice, you will solve complex identity, access, and data protection challenges through AI-enabled engineering. You will bridge client engagements with hands-on delivery, architecting and deploying production-grade solutions while leading teams and shaping pursuits. You’ll build reusable accelerators and drive high-quality outcomes for clients and teams, contributing to a growing AI-driven cyber services portfolio. Compensation / Benefits * Translate client business needs and privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives * Lead hands-on design, integration, deployment, and operation of production-grade solutions, troubleshooting technical issues within scope * Shape technical solutions during pursuits through demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs * Manage client delivery by overseeing scope, timelines, quality, and customer satisfaction across engagements * Build team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or related field * 5+ experience in one or more Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ experience translating client requirements into target-state architectures using APIs, microservices, event-driven, or serverless * 3+ experience building and deploying production-grade solutions using Python, Java, or Node.js * 1+ experience delivering solutions on AWS, Azure, or GCP including containers, CI/CD, and version control * 6 months to 1 year designing or deploying generative AI or large language model solutions in production * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements *
Requirements
solutions scope, timelines, quality, and customer satisfaction across engagements * Build team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or related field * 5+ experience in one or more Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ experience translating client requirements into target-state architectures using APIs, microservices, event-driven, or serverless * 3+ experience building and deploying production-grade solutions using Python, Java, or Node.js * 1+ experience delivering solutions on AWS, Azure, or GCP including containers, CI/CD, and version control * 6 months to 1 year designing or deploying generative AI or large language model solutions in production * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements *
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on us.experteer.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Is Software Engineering Over-Saturated?
Why Upskilling And Reskilling is Important For Developers
9 Ways to Make Money Hacking
Top-Paying Tech Jobs (with Salaries)