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Tier-1 brand, common mid-level full-stack title, mid experience band, and broad full-stack plus GenAI requirements.
Core full-stack skills are transferable, though GenAI and platform-specific experience moderately increase domain bias.
Explicit 5–8 years plus mandatory Angular, Python/Java, DB, CI/CD, and GenAI requirements increase filter strictness.
Lead end-to-end design and delivery of complex platform features across Angular frontend and Python or Spring Boot backend.
Own technical solution design including architecture, data models, and integrations; author design documents and lead design reviews.
Drive CI/CD pipeline maturity, platform reliability, and mentor junior engineers while advocating for engineering best practices.
5–8 years of professional full-stack engineering experience.
Strong proficiency in Angular (TypeScript) and Python or Java/Spring Boot for backend development.
Experience designing and delivering scalable production APIs and services with strong database (SQL, NoSQL) and caching (Redis, Memcached) knowledge.
Hands-on experience with CI/CD pipelines, DevOps practices, and practical experience with Generative AI technologies (LLMs, prompt engineering, RAG pipelines).
Experienced in leading technical design and delivery within agile teams, comfortable making architecture and trade-off decisions.
Skilled in building production-scale internal platforms or engineering tools, with a focus on reliability and incident management.
Proficient in integrating AI/ML models or generative AI capabilities into software products and familiar with related AI coding tools.