Senior Java & Python Software Engineer – Full Stack / Backend

Next Frontier Capital

Jersey City (NJ)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Healthcare benefits
On-site health center
Retirement savings plan

Job summary

JPMorganChase is seeking an Experienced Software Engineer to join the Global Technology team in a role that emphasizes scalable, secure software design and collaboration across product teams in the United States. The role involves building production-grade code, applying AI-assisted development tools, and driving improvements in architecture and data-driven insights.

You'll work within an agile setting, contribute to secure coding standards, and participate in ongoing learning and engineering

Qualifications

  • Hands-on experience in system design, application development, testing and operational stability.
  • Proficient in Java or Python programming languages.
  • Experience with enterprise AI-assisted development tools and secure coding practices.
  • Understanding of CI/CD, application resiliency and security requirements.
  • Experience in large corporate environments with database querying languages.

Responsibilities

  • Participates in design and development of scalable, resilient systems using Java or Python.
  • Executes software solutions, design, development, and troubleshooting.
  • Leverages enterprise AI coding assist tools to improve quality, speed, and productivity.
  • Develops and maintains production code and algorithms aligned with systems.
  • Produces architecture/design artifacts and analyzes large data sets for insights.
  • Contributes to communities of practice and promotes inclusive team culture.

Skills

Java
Python
AI-assisted tools
CI/CD
Security
Data analysis

Tools

SQL

Job description

JPMorganChase is seeking an Experienced Software Engineer to join the Global Technology team in a role that emphasizes scalable, secure software design and collaboration across product teams in the United States. The role involves building production-grade code, applying AI-assisted development tools, and driving improvements in architecture and data-driven insights.

You'll work within an agile setting, contribute to secure coding standards, and participate in ongoing learning and engineering

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