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Tier-1 brand and metro location increase competition, but senior specialization reduces candidate pool.
Strong cybersecurity and GenAI consulting experience required makes cross-industry transfers difficult.
Explicit 9–15 years, specific full-stack, cloud and GenAI requirements make shortlisting highly selective.
Lead end-to-end delivery of cybersecurity and AI-enabled solutions including architecture, development, deployment, and post-launch stabilization.
Manage cross-functional engineering teams, mentoring and enforcing engineering standards, and driving solution design and technical decisions.
Engage directly with clients for requirements gathering, solution shaping, technical storytelling, and influencing product and platform improvements across Deloitte Cyber Engineering offerings.
9–15 years of experience in software engineering with leadership of full-stack teams and complex deliveries.
Proficiency in JavaScript/TypeScript with frontend frameworks (React, Angular, Next.js) and backend technologies (Node.js, Python frameworks, Java Spring Boot).
2+ years hands-on experience building and deploying GenAI or LLM-based AI solutions using platforms like Anthropic, Google, or OpenAI.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
Experienced leader capable of managing full delivery life cycle of cybersecurity and AI-enabled software solutions in client environments.
Strong technical depth spanning frontend, backend, cloud-native architectures, microservices, and AI application design within enterprise or consulting contexts.
Skilled in client interaction and translating ambiguous technical/business requirements into scalable, secure production solutions, including solution shaping and pre-sales support.