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Tier-1 brand plus a mid-level generalist Python/backend role with common skills drives high competition.
Backend Python and AWS skills are broadly transferable across industries, so background sensitivity is low.
Explicit 4–6 years requirement plus mandatory Python, AWS, and database experience makes shortlisting strict.
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Develop, debug, and maintain the system responsible for calculating re-balancing weights and asset selections for S&P indices.
Own implementation of business requirements including coding, unit testing, database schema updates, and production support.
Collaborate with global teams and troubleshoot performance issues and production incidents.
4-6 years of IT experience in application development with backend API, database, and some UI development.
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
Proficiency with Python 3.9+ (minimum 3 years recent dedicated experience).
Experience with AWS services (API Gateway, ECS/containerization, DynamoDB, Postgres) and Python libraries (Pydantic, Pandas).
Experienced in backend API and database development in a financial or data-intensive environment involving complex calculations.
Pragmatic in producing high-quality, well-tested Python code and comfortable with both development and production support roles.
Capable of effective asynchronous collaboration across multiple time zones within global engineering teams.