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Tier-1 brand, mid-level generalist role, metro hiring and broad skillset make competition high.
Data engineering skills like Spark and AWS are highly transferable across industries.
Mandatory 3+ years plus Spark, AWS, Terraform, and AI-tool experience creates high shortlisting strictness.
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Design, develop, and troubleshoot secure, scalable software solutions for Consumer and Community Banking at JPMorganChase.
Produce architecture and design artifacts for complex applications, ensuring design constraints are met.
Analyze large data sets to improve software applications and system architecture; leverage AI-assisted coding tools to enhance code quality and delivery speed.
3+ years of applied software engineering experience with formal training or certification.
Proficiency in Spark (Java/Python) and AWS (including EKS/ECS, Terraform).
Experience using enterprise-authorized AI-assisted software development tools with ability to validate AI-generated outputs.
Knowledge of Software Development Life Cycle and agile methodologies such as CI/CD, Application Resiliency, and Security.
Experienced in large corporate environments developing and maintaining complex software applications.
Comfortable with AI-assisted coding tools and responsible AI practices in engineering workflows.
Capable of producing high-quality, secure code within an agile development setting.