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Remote role, generic Software Engineer title, and mid-level experience range drive high applicant competition.
Full-stack plus data-engineering focus favors data-heavy backgrounds, limiting cross-industry interchangeability.
Explicit 3–8 years and mandatory Python, React, data engineering, cloud and tooling increase shortlisting strictness.
Design, develop, and maintain full stack applications combining Python backend and React.js frontend with a focus on data-heavy systems.
Build and manage ETL/ELT pipelines, data warehousing, and data modeling in cloud platforms (preferably GCP) to process big data at scale.
Collaborate cross-functionally to prototype AI/ML accelerators and MVPs, implement CI/CD pipelines, and ensure scalable, high-quality software delivery.
3–8 years of full stack development experience with strong Python (backend) and React.js (frontend) skills.
Hands-on experience in data engineering, data warehousing, ETL/ELT pipelines, and data modeling.
Experience with cloud platforms such as GCP (preferred), AWS or Azure and deployment of scalable applications.
Work Experience Required: 3–8 years. No visa sponsorship or transfer available.
Balances technical depth in backend and data engineering with breadth in frontend development and AI/ML exploration.
Experienced working in innovation-driven, cross-functional teams building scalable, data-intensive applications in cloud environments.
Able to translate ambiguous business requirements into technical solutions while maintaining high software engineering standards including automated testing and CI/CD.