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Tier-1 brand, generic Software Engineer title, mid-level experience band, and metro location increase competition.
Core backend, Java and AWS skills transfer across industries, though enterprise security experience adds some bias.
Explicit 3+ years, required enterprise AI-tool experience and security/CI-CD expectations make filters strict.
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Design, develop, and troubleshoot software components for secure, stable, and scalable technology products in an agile environment within Trust & Security at JPMorgan Chase.
Leverage enterprise-authorized AI-assisted coding tools to improve code quality, delivery speed, and productivity, while validating AI outputs through peer review and automated testing.
Produce architecture and design artifacts for complex applications, ensuring code meets design constraints and drive continuous improvement through data analysis.
Formal training or certification in software engineering concepts with 3+ years of applied experience.
Hands-on experience in system design, application development, testing, and operational stability using modern programming languages and database querying languages.
Experience using enterprise-authorized AI-assisted software development tools with ability to critically validate AI-generated outputs.
Knowledge of Software Development Life Cycle, agile methodologies like CI/CD, application resiliency, and security.
Someone with strong practical experience in large corporate environments handling complex software engineering tasks including design and operational stability.
Experienced in responsible AI use within engineering workflows, ensuring secure and effective application of AI-assisted development tools.
Familiar with agile practices and capable of producing design artifacts aligned with secure and scalable software architecture demands.