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Tier-1 brand, generalist Software Engineer title, metro locations, and broad UI/Python/AI requirements increase applicant density.
Core fullstack skills are transferable across industries, but banking domain, observability, and responsible AI expectations increase specificity.
Explicit 2+ years, mandatory Python and UI skills, and enterprise security/AI usage requirements create moderately strict filters.
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Design, develop, and deliver secure, stable, scalable UI and backend Python software solutions within agile teams, supporting JPMorgan Chase Commercial & Investment Bank business objectives.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, productivity, and automation across software development lifecycle.
Implement telemetry and observability in UI to enable performance monitoring and production troubleshooting, contributing to production-grade system reliability.
Minimum 2+ years of practical software engineering experience with formal training or certification in software engineering concepts.
Strong Python development skills and UI engineering experience with modern responsive UI and component libraries.
Hands-on experience with enterprise-authorized AI-assisted software development tools including evaluation and validation of AI-generated outputs.
Experience across full Software Development Life Cycle, including agile methodologies like CI/CD, security, application resiliency.
Experienced in large corporate environments with operational responsibility for production-grade services, tooling, or automation in Python and UI.
Familiar with responsible and secure AI usage in development workflows, including data sensitivity and secure handling of AI inputs/outputs.
Has exposure or interest in Markets business domain, flagship product Athena ecosystem, and is capable of providing Level 3 support and handling production reliability issues.