Lead Java Engineer (Oracle) for ETF Tech

Next Frontier Capital

Greater London

On-site

GBP 120,000 - 170,000

Full time

14 days+
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Job summary

J.P. Morgan is seeking a Lead Software Engineer within the ETF Technology team in EMEA, based in London.

You will drive secure, scalable Java/Oracle solutions across UCITS ETF platforms and partner with ETF product strategy, portfolio management, and middle office to deliver business-critical technology. You will own complex development tasks, promote best practices in CI/CD and production support, and contribute to AI-enabled engineering while maintaining high-quality code and strong

Qualifications

  • Formal training or certification in software engineering with enterprise experience.
  • Advanced Java with Oracle/SQL and scalable development.
  • Experience with SDLC, Agile, CI/CD, testing, and production support.
  • Strong communication with technical and non-technical stakeholders in fast-paced environments.
  • Willingness to learn ETF and finance concepts; ownership mindset.

Responsibilities

  • Develops secure, high-quality production code using Java, Oracle, and SQL.
  • Delivers technical solutions supporting UCITS ETF business across platforms.
  • Collaborates with ETF product strategy, portfolio management, and middle office teams.
  • Identifies opportunities to improve operational stability through monitoring, troubleshooting, and automation.
  • Drives AI-assisted engineering practices with secure coding and peer review.

Skills

Java development
Oracle databases
SQL
Agile delivery
Production support

Education

Formal software engineering training

Tools

Java
Oracle
SQL
CI/CD
React

Job description

J.P. Morgan is seeking a Lead Software Engineer within the ETF Technology team in EMEA, based in London.

You will drive secure, scalable Java/Oracle solutions across UCITS ETF platforms and partner with ETF product strategy, portfolio management, and middle office to deliver business-critical technology. You will own complex development tasks, promote best practices in CI/CD and production support, and contribute to AI-enabled engineering while maintaining high-quality code and strong

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