Jobs · Engineering · Connecticut

Cyber Identity - FDE Engineering Manager

Deloitte · Stamford, CT · 3 wk ago
HybridEngineering$156k–$307k/yrFull-time

Work you'll do

  • Translate client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Lead the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Manage client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Build team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ years experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ years experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ years experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ years experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment

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