Python Software Engineer II — AI-Driven, Secure & Scalable

JPMorgan Chase & Co.

Bournemouth

On-site

GBP 55,000 - 75,000

Full time

3 days ago
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Job summary

JPMorgan Chase & Co. in Bournemouth is seeking a Software Engineer II to join Infrastructure Platforms. You will join an agile team delivering secure, scalable software components for the firm’s technology products.

You will execute software solutions, develop high-quality code, and leverage enterprise AI-assisted tools while ensuring security, reliability, and maintainability across the SDLC.

Qualifications

  • Formal software engineering training or certification.
  • Hands-on experience with design, development, testing, and operational stability.
  • Experience coding in one or more modern languages and database querying languages.
  • Experience using enterprise AI-assisted development tools with ability to evaluate AI outputs.

Responsibilities

  • Executes standard software solution design, development, and troubleshooting.
  • Writes secure, high-quality code with minimal guidance.
  • Uses AI coding assist tools to improve quality, speed, and productivity with peer review and testing.
  • Designs and troubleshoots with consideration of upstream and downstream systems.
  • Applies SDLC tools and automation to improve value.
  • Gathers data, analyzes, and contributes to decision-making for secure, stable applications.
  • Learns system processes and skills for secure, stable code development.

Skills

Software design
Operational stability
CI/CD
Secure coding
AI-assisted coding
Data analysis
Team collaboration

Education

Formal software engineering training
Software engineering certification

Tools

CI/CD pipelines
AI coding assist tools
Code review tools

Job description

JPMorgan Chase & Co. in Bournemouth is seeking a Software Engineer II to join Infrastructure Platforms. You will join an agile team delivering secure, scalable software components for the firm’s technology products.

You will execute software solutions, develop high-quality code, and leverage enterprise AI-assisted tools while ensuring security, reliability, and maintainability across the SDLC.

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