Senior Software Engineer - AI-Driven, Secure & Scalable

JP Morgan Chase

Columbus (OH)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Job summary

JPMorganChase, within the Chief Technology Organization, seeks a Lead Software Engineer to be a core technical contributor who builds trusted, scalable technology products across business functions. You will operate in an agile team to deliver secure solutions that support the firm's objectives.

As a senior engineer, you will design, develop, review production code, and champion AI-assisted engineering practices, instrumentation, and testing strategies to accelerate delivery while maintaining

Qualifications

  • Formal training or certification in software engineering with 5+ years of applied experience.
  • Advanced in Java with hands-on system design, development, testing, and operations.
  • Experience leading AI-assisted software development tools and practices.
  • Strong understanding of secure coding, validation, and SDLC adherence.

Responsibilities

  • Executes creative software solutions with design, development, and debugging.
  • Develops secure, high-quality production code and reviews others' code.
  • Drives enterprise AI-assisted engineering practices to improve quality and speed.
  • Applies SDLC tools and automation to improve value and reliability.
  • Identifies opportunities to automate remediation for stability.
  • Leads architectural design evaluations and cross-team alignment.

Skills

Java
AI-assisted development tools
Cloud AWS
Security awareness
Agile methodologies
Database queries (Aurora, Postgres)

Tools

Aurora
PostgreSQL
CI/CD tools
GitHub Copilot

Job description

JPMorganChase, within the Chief Technology Organization, seeks a Lead Software Engineer to be a core technical contributor who builds trusted, scalable technology products across business functions. You will operate in an agile team to deliver secure solutions that support the firm's objectives.

As a senior engineer, you will design, develop, review production code, and champion AI-assisted engineering practices, instrumentation, and testing strategies to accelerate delivery while maintaining

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