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Tier-1 brand, generic backend title, mid-level experience requirement, metro location drive high competition.
Core backend skills are transferable but finance domain and responsible-AI expectations increase domain-specific sensitivity.
Explicit 5+ years plus mandatory Python, AWS, distributed and AI-governance requirements increase filtering rigor.
Develop and maintain high-quality Python backend code for trade structuring tools used globally by trading and support teams.
Lead adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Collaborate with users and other development teams throughout full software lifecycle including production support and enhancements.
5+ years of applied experience with formal training or certification in software engineering concepts.
Strong expertise in Python, object-oriented programming, and test-driven development.
Demonstrated experience with enterprise-authorized AI-assisted software development tools and responsible AI use in engineering workflows.
Experience with distributed computing architectures and event-based architectures.
Experienced in leading AI-assisted software development practices with a focus on secure, compliant, and high-quality outputs.
Comfortable working in agile, global teams involving cross-functional collaboration and user interaction.
Familiar with AWS and capable of hands-on technical delivery involving analysis, coding, testing, and troubleshooting.