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Tier-1 brand, mid-level generalist title, metro location, and broad skillset increase candidate competition.
Full-stack and AI platform skills are broadly transferable across industries despite some internal-platform specifics.
Explicit 5–8 years, mandatory Angular plus backend, databases, CI/CD, and AI experience make filters strict.
Lead end-to-end design and delivery of complex full-stack platform features using Angular (frontend) and Python or Spring Boot (backend).
Own technical solution design including architecture decisions, design documentation, and integration strategy for platform components.
Drive platform quality, reliability, and CI/CD maturity; mentor engineers and coordinate with product stakeholders to clarify requirements and improve engineering standards.
5–8 years of professional full-stack engineering experience.
Strong proficiency in Angular (TypeScript) for frontend and Python or Java/Spring Boot for backend development.
Experience designing and delivering scalable production APIs and services; strong skills in relational and NoSQL databases.
Hands-on experience with CI/CD pipelines, unit and integration testing; practical knowledge of Generative AI technologies and AI coding tools.
Experienced in complex full-stack development with ability to lead technical architecture and engineering practices in an agile environment.
Skilled in integrating AI capabilities into development workflows and platform tools, with familiarity in GenAI-powered applications.
Capable of improving platform reliability and engineering maturity while mentoring junior team members and collaborating across stakeholder groups.