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Mid-level fullstack role at a known global brand with common skills and hybrid work increases applicant competition.
Strong fullstack and cloud skills transfer across industries, though data-quality/AI focus adds moderate domain specificity.
Explicit 5–8 years, mandatory fullstack, GCP, Terraform, and testing skills make filters highly strict.
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Design, develop, and scale full-stack Data Quality and AI-enabled platforms utilizing React, TypeScript, Python (FastAPI), and cloud-native technologies on GCP.
Build and enhance data quality, observability, governance, analytics, and AI-powered solutions including microservices, APIs, dashboards, and workflows.
Implement cloud infrastructure using GKE, Terraform, and CI/CD pipelines, plus integrate AI/ML models into engineering solutions.
5-8 years of professional full-stack/software engineering experience with ownership of end-to-end systems.
Strong frontend development experience with React/Angular, TypeScript, JavaScript (ES6+), HTML5/CSS3.
Strong backend development experience with Python and FastAPI or Flask.
Experience with GCP services, Docker, CI/CD pipelines, Terraform, SQL (PostgreSQL, MySQL, or MongoDB), REST APIs, microservices, and infrastructure-as-code.
Experienced in designing and delivering scalable full-stack cloud-native platforms integrating data engineering and AI/ML components.
Familiar with data quality, metadata-driven architectures, observability frameworks, and enterprise-grade analytics solutions.
Comfortable in Agile/Scrum environments with strong emphasis on code quality, testing, security, and operational excellence.