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Tier-1 brand, mid-level generalist backend role with common Java/Kafka skills increases candidate competition.
Backend engineering skills are transferable, but banking domain and security/resiliency expectations increase domain specificity.
Explicit 3+ years and mandatory skills (Java, Kafka, AWS, Terraform, Spinnaker) enforce strict shortlisting.
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Designs, develops, and troubleshoots secure, high-quality production software solutions across multiple technical areas within JPMorganChase Commercial & Investment Bank.
Produces architecture and design artifacts for complex applications ensuring design constraints are met and contributes improvements based on data analysis and continuous feedback.
Leverages enterprise-authorized AI-assisted development tools to enhance code quality, delivery speed, and productivity, validating all AI-generated outputs through rigorous review processes.
Minimum 3+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Proficiency in coding with Java and/or Python, plus experience developing, debugging, and maintaining code in large corporate environments.
Hands-on experience with enterprise-authorized AI-assisted software development tools, including GitHub Copilot; proficiency with AWS services like EKS and MSK, Terraform, and Spinnaker Pipeline.
Knowledge of Software Development Life Cycle, agile methodologies (CI/CD, application resiliency, security), and understanding of responsible AI use including data sensitivity and security considerations.
Experienced software engineer capable of designing and delivering complex, secure, and scalable solutions in a commercial banking technology environment.
Operates effectively within agile teams, applying expertise in cloud services (AWS), infrastructure as code (Terraform), and AI-assisted development tooling.
Skilled at integrating AI tools responsibly into development workflows with strong emphasis on validating and securing AI-generated code to maintain system integrity.