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Metro location, popular full-stack title, and moderate brand strength create medium competition density.
Requires combined data engineering, Python APIs, and frontend skills so candidates from similar tech domains fit best.
Explicit 8–10 years plus mandatory Python, React, Databricks, and Azure skills make shortlisting strict.
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Own end-to-end development of full-stack data products including data pipelines, Python APIs, and React/Tailwind front ends to deliver AI-powered solutions.
Leverage AI-assisted coding tools (Claude Code, Cursor) daily to accelerate feature delivery while ensuring high quality and data validation.
Mentor mid-level engineers and collaborate with cross-functional teams on architecture, standards, and product features, contributing reusable components and scalable services.
8-10 years of professional software engineering experience with deep Python expertise.
Proven experience building full-stack applications with React and Tailwind CSS.
Strong proficiency designing and developing production-grade Python APIs (FastAPI, Flask, or similar).
Expert-level use of AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) including agentic coding patterns and daily production-level coding with these tools.
Experienced in full ownership of AI-enabled data product development from backend to frontend in a production setting.
Comfortable leading technical mentorship and architecting scalable, reusable engineering components in collaboration with distributed teams.
Familiar or interested in applying AI/LLM technologies and development patterns within media, advertising, or marketing technology data environments.