Senior Software Engineer - Asset & Wealth Trading

Aumni

Jersey City (NJ)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Software Engineer III to join the Asset Management Technology - Trading Systems Team in Jersey City. You will design and deliver scalable, secure software solutions as part of an agile team, contributing to high-quality production code and system reliability.

Responsibilities include building microservices, optimizing performance, and driving improvements from data insights. The role emphasizes responsible AI usage and collaboration within a diverse engineering culture.

Qualifications

  • Formal training or certification in software engineering with 3+ years of applied experience.
  • Experience in developing, debugging, and maintaining code in a large corporate environment using Java and/or Python.
  • Hands-on experience delivering system design, application development, testing, and operational stability.

Responsibilities

  • Executes creative software solutions and technical troubleshooting to tackle non-routine problems.
  • Develops secure high-quality production code and reviews code written by others.
  • Improves software stability by automating remediation of recurring issues.
  • Gathers and analyzes large data sets to drive continuous improvement and reporting.
  • Identifies hidden data patterns to drive architectural improvements in coding hygiene.
  • Contributes to engineering communities and promotes diversity and inclusion within the team.

Skills

Java
Python
CI/CD tooling

Tools

GitHub/Bitbucket

Job description

JPMorganChase is seeking a Software Engineer III to join the Asset Management Technology - Trading Systems Team in Jersey City. You will design and deliver scalable, secure software solutions as part of an agile team, contributing to high-quality production code and system reliability.

Responsibilities include building microservices, optimizing performance, and driving improvements from data insights. The role emphasizes responsible AI usage and collaboration within a diverse engineering culture.

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