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Generalist software title, mid-level experience range, and broad fullstack-plus-data requirements increase applicant competition.
Role mixes fullstack and data-engineering skills that are moderately transferable but require specific cloud/data experience.
Explicit 3–8 year requirement plus mandatory Python, React, data warehousing and cloud experience raises screening strictness.
Design, develop, and maintain full stack applications focusing on scalable backend systems (Python) and responsive frontend interfaces (React.js).
Build and manage data-heavy backend systems including ETL/ELT pipelines, data warehousing, and data modeling using cloud data platforms like BigQuery and Snowflake.
Collaborate with cross-functional teams to translate business requirements into scalable technical solutions and contribute to AI/ML and Generative AI prototyping for innovative product development.
3–8 years of experience in full stack development with expertise in Python (backend) and React.js (frontend).
Experience with data engineering, data warehousing, ETL/ELT pipelines, and processing large-scale datasets on cloud platforms (GCP preferred, AWS/Azure acceptable).
Proficiency in deploying scalable applications using cloud services, CI/CD pipelines, REST APIs, and microservices architecture.
Work Experience Required: 3–8 years full stack development experience; Visa sponsorship not available.
Technically balanced with strong backend/data engineering skills and frontend development capabilities combined with AI/ML and product thinking exposure.
Experience working in agile environments with cross-disciplinary teams (AI, Data, Cloud, Product) and comfortable handling ambiguous or evolving requirements.
Operates with a learning mindset, curiosity for emerging technologies, and willingness to experiment and prototype innovative AI-driven solutions.