Cyber Full Stack Manager

Overview As a Full Stack Engineer Manager in Deloitte Cyber’s Digital Trust & Privacy practice, you bridge advisory, product engineering, and hands-on delivery to translate business and regulatory needs into scalable tech solutions. You will work directly in client environments building APIs, AI-enabled capabilities, and governance-infused deployments. You’ll lead cross-functional teams, shape solution direction, and drive measurable outcomes while advancing digital trust, privacy, and AI governance initiatives. This role combines strategy with concrete implementation impact. ResponsibilitiesTranslate client objectives and risk requirements into architectures, product requirements, and backlogsLead design, development, integration, deployment, testing, and troubleshooting of production-grade solutions in client environments (including GenAI)Build APIs, automations, dashboards, and integrations with governance embedded in CI/CD and policy enforcementPrototype with clients and internal specialists to validate approaches, create proofs of concept, estimates, and pricing inputsManage delivery scope, timelines, quality, client satisfaction, and financials across engagementsLead multidisciplinary teams and develop reusable accelerators, documentation, and engineering best practices Key requirementsBachelor degree in a relevant field and 7+ years translating requirements into target-state architectures7+ years building/ deploying production-grade solutions using Python, Java, or Node.js with 2+ years on AWS/Azure/GCP including containers and CI/CD1+ year designing or deploying generative AI/LLM solutions in client or production environmentsExperience in digital trust, online protection, privacy, AI governance, data protection, cryptography, and leading technical workstreamsIndependent work capabilityStrong written and verbal communicationAttention to detail and qualityREST APIs, microservices, event-driven architectures, serverless architecturesPython, Java, or Node.js; AWS/Azure/GCP with containers and CI/CDGenerative AI/LLM governance and operationalization