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Tier-1 brand, popular ML title, metro location, and broad full-stack plus AI skillset increase applicant competition.
Core ML, Python, and cloud skills are transferable, though architecture and AI-tool expertise narrow fit somewhat.
Many mandatory technical skills, architecture and mentoring expectations elevate screening strictness.
Design and define scalable software architectures for React frontend and Python backend systems.
Serve as technical architect ensuring robust, maintainable, and scalable cloud-native solutions using AWS, Azure, or GCP.
Integrate AI-powered development tools and automation to accelerate software development and improve efficiency.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
Proven experience as a software engineer or architect with strong system design and architecture skills.
Hands-on proficiency in React (or similar frameworks) and Python backend development (Django, Flask, or FastAPI).
Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native technologies, including containerization and serverless computing.
Experienced technical architect comfortable blending software architecture with applied AI capabilities.
Practitioner who regularly explores and applies latest AI-powered development tools to improve engineering workflows.
Skilled collaborator capable of mentoring engineers and establishing best practices for AI-assisted full-stack development in cloud environments.