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Strong Tier-1 brand, mid-level 5+ years backend role, metro location, and generalist Python skillset.
Core backend, distributed systems, and AWS skills are transferable, but banking domain and responsible-AI expectations add specificity.
Explicit 5+ years plus mandatory Python, distributed systems, AWS, and secure AI tooling experience increases filtering.
Develop and maintain high-quality Python backend code adhering to software engineering principles like SOLID, YAGNI, and KISS.
Lead adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes within the SDLC/TLM toolchain.
Support and collaborate with multiple development teams by providing technical solutions, addressing system issues, and promoting reuse of automation and tools.
5+ years of applied experience with formal training or certification in software engineering concepts.
Strong experience in object-oriented programming with Python, including test-driven development.
Demonstrated leadership in using enterprise-authorized AI-assisted software development tools with knowledge of secure and responsible AI use.
Experience with distributed computing architecture, event-based architecture, and knowledge of AWS.
Experienced in leading software engineering teams integrating AI-assisted development tools within secure, regulated environments.
Technically hands-on with strong problem-solving skills, comfortable working in agile and dynamic settings with global teams.
Familiar or eager to learn Investment Banking and Markets domain to effectively contribute to trade structuring tools used globally.