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Remote, mid-level generalist backend title, and popular skillset increase candidate competition.
Backend Python skills and cloud tooling are broadly transferable across industries.
Explicit 6+ years requirement plus mandatory Python, SQL, AWS, and Docker skills creates stringent filters.
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Own development and enhancement of AI-native products using Python and related technologies.
Design and optimize database schemas and SQL queries for performance, including stored procedures.
Utilize cloud (AWS), containerization (Docker), and version control (GitHub/Bitbucket) tools in software delivery.
6+ years of professional experience working with Python.
Strong hands-on skills in Python, JavaScript, SQL, and REST APIs.
Advanced SQL knowledge including schema design, performance tuning, and stored procedures.
Experience with AWS and Docker; proficiency in Object-Oriented Programming concepts.
Experience in developing enterprise AI solutions or AI-native products in a scalable and maintainable way.
Familiarity with DevOps practices including cloud infrastructure, container orchestration, and version control.
Comfortable working in a globally distributed, remote-first team environment focused on professional growth.