Lead Cloud Software Engineer — Java, Python, AI, Finance

JPMorgan Chase & Co.

Scotland

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

JPMorganChase in the United Kingdom seeks a Lead Software Engineer for the Cloud Financial Management technology team to design and deliver trusted, scalable solutions in an agile environment. You will collaborate with diverse teams to support the firm’s objectives and foster innovation.

You will mentor engineers, champion secure coding, and drive AI-assisted development practices to raise quality, speed, and resilience across the software lifecycle.

Qualifications

  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Proficiency in Java, Python, Node.js, React, and SQL.
  • Experience leading the use of AI-assisted development tools with validation of outputs.
  • Understanding of responsible AI use, data sensitivity, and secure handling.
  • Strong knowledge of SDLC and agile practices including CI/CD.

Responsibilities

  • Execute creative software solutions and design, develop, and troubleshoot complex problems.
  • Develop secure, high-quality production code and review others’ work.
  • Lead AI-assisted engineering practices to improve code quality, speed, and stability.
  • Collaborate with cross-functional teams to align solutions with business goals.
  • Promote best practices in software engineering, security, and resiliency.
  • Mentor and support team members in their professional development.

Skills

Java
Python
Node.js
React
SQL

Education

Formal training or certification on software engineering concepts

Job description

JPMorganChase in the United Kingdom seeks a Lead Software Engineer for the Cloud Financial Management technology team to design and deliver trusted, scalable solutions in an agile environment. You will collaborate with diverse teams to support the firm’s objectives and foster innovation.

You will mentor engineers, champion secure coding, and drive AI-assisted development practices to raise quality, speed, and resilience across the software lifecycle.

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