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Generalist fullstack title, mid-level range, and metro locations increase applicant competition.
Skills are transferable across industries but AI/data emphasis favors similar domains.
Explicit 3–8 years plus specific Python, React, data engineering and cloud requirements enforce strict filtering.
Design, develop, and maintain end-to-end full stack applications with scalable backend (Python) and responsive frontend (React.js).
Build and manage data-heavy backend systems with data engineering, warehousing, ETL/ELT pipelines, and cloud data platform integration (GCP preferred).
Collaborate with cross-functional teams to prototype AI/ML use cases and scalable technical solutions, ensuring high-quality delivery through CI/CD and best engineering practices.
3-8 years of full stack development experience with strong expertise in Python (backend) and React.js (frontend).
Experience in Data Engineering, Data Warehousing, ETL/ELT pipelines, and large-scale data processing using technologies like BigQuery or Snowflake.
Familiarity with cloud platforms, preferably GCP, including deploying scalable applications using services like Cloud Run or Cloud Functions.
Work Experience Required: 3-8 years; Visa sponsorship or transfer not available.
Demonstrated ability to balance technical depth in backend/data engineering with frontend development and AI/product understanding.
Experience working in agile, cross-functional teams involving AI, data, and cloud engineering to deliver innovative technology solutions.
Comfortable with experimentation and rapid prototyping of AI/ML and Generative AI technologies within a fast-evolving environment.