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Strong employer brand and broad backend/Python skillset produce moderate applicant competition.
Core backend engineering skills transfer well, though finance/data experience is preferred, so moderate sensitivity.
Mandatory 10+ years plus specific Python/AWS/SQL experience creates strict shortlisting filters.
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Own technical direction, architecture, and end-to-end design for the next-generation index data platform.
Develop and maintain modular, well-tested Python services, APIs, and libraries handling high volumes of financial data on AWS.
Take ownership of feature delivery, production support, and integration with relational databases and AWS cloud services.
10+ years of professional software development experience, preferably with production Python or equivalent in languages like Java, C#, C++, Scala, Go, or Rust.
Strong experience with Python development, including clean, maintainable code with type hints and automated testing (pytest).
Experience with relational databases (Aurora PostgreSQL), schema design, and SQL query optimization.
Working knowledge of AWS services such as Lambda, S3, containerized services, IAM basics, and modern CI/CD practices.
Experienced lead-level engineer with demonstrated ability to design and deliver production-grade cloud-native data-intensive software.
Comfortable working directly with product and business teams to translate requirements into robust software solutions.
Skilled in managing complex data problems involving batch processing, ETL, schema evolution, and observability in production environments.