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Tier-1 brand, popular full-stack role, metro location, and broad skillset drive high competition.
Deep AI/GenAI and Azure data-platform emphasis makes cross-industry transfer moderately constrained.
Explicit 15+ years plus stringent AI, cloud, and technical leadership requirements enforce high shortlisting strictness.
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Architect, develop, and maintain production-grade full-stack applications and data platforms used globally by scientists and business stakeholders.
Lead technical direction including cloud-native architecture, AI/ML integrations (especially LLMs and RAG pipelines), and engineering best practices across teams.
Drive engineering excellence via code reviews, performance optimization, mentoring, DevOps implementation, and cross-functional collaboration.
Bachelor's degree in Computer Science or equivalent experience.
15+ years of hands-on software development with increasing technical leadership responsibility.
Expert-level Python programming and full-stack development experience including backend frameworks (FastAPI, Flask, Django) and modern frontend frameworks (React, TypeScript).
Hands-on experience with Azure cloud platform services, AI/ML production deployment (especially LLM integration and RAG architectures), data engineering at scale, and strong SQL/database skills.
Senior technical leader with proven ability to own architectural decisions and elevate engineering standards within complex, regulated environments.
Deep expertise in cloud-native design, AI/ML integration (especially GenAI platforms, prompt engineering, and LLM observability), and scalable data engineering pipelines.
Experienced in DevOps practices, containerisation (Docker, Kubernetes), and driving cross-team collaboration involving product owners, architects, and data scientists.