Front Office Trading Engineer - Java

JPMorgan Chase & Co.

Glasgow

On-site

GBP 70,000 - 115,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. is seeking a Software Engineer in Asset Management Trading Technology in Glasgow to design, build, and evolve trading platforms that manage orders and execute trades across asset classes.

You will work with Traders and Quants to automate the order management lifecycle, focus on reliability, high performance, and rapid delivery, and contribute to the next generation of trading technology with GenAI-enabled workflows.

Qualifications

  • Proven hands-on experience designing and building end-to-end software systems.
  • Experience with messaging and streaming technologies e.g. Kafka.
  • Solid understanding of modern software architecture and design patterns.
  • Demonstrated ability to work in a fast-paced environment.
  • Commitment to building reliable, scalable, and maintainable systems.
  • Ability to collaborate effectively with cross-functional teams including Traders and Quants.
  • Dedication to continuous improvement and rapid delivery.
  • A passion for code quality, engineering excellence, and elegant solutions.

Responsibilities

  • Design and engineer scalable, high-performance trading systems across multiple asset classes.
  • Collaborate directly with Traders to deliver high-impact solutions.
  • Build and develop applications for mission-critical trading platforms.
  • Architect and implement next-generation messaging and streaming technologies such as Kafka.
  • Drive technical innovation and contribute creative ideas for platform advancement.
  • Drive the adoption and scaling of GenAI practices within the software development workflow, bringing creative ideas on how to use AI tooling effectively and reliably.
  • Participate in code reviews and mentor teammates to strengthen engineering excellence.
  • Participate in the full software development lifecycle from design through to production.
  • Focus on continuous improvement and fast, iterative delivery.
  • Deploy code to production daily with confidence.
  • Add to team culture of diversity, opportunity, inclusion, and respect.

Skills

End-to-end systems
Kafka
Software architecture
Fast-paced environment
Cross-functional collaboration
Code reviews
GenAI practices
Delivering iteratively

Tools

Kafka

Job description

As a Software Engineer in Asset Management Trading Technology, you will help transform trading from an art into a science. You will design, build, and evolve industry-leading platforms that manage orders and execute trades across diverse asset classes. Working closely with Traders, you will engineer solutions that automate and optimize the order management lifecycle. You will be part of a team that values technical excellence, creative problem-solving, and rapid delivery, where your expertise will directly shape the future of trading technology.

Job Responsibilities
  • Design and engineer scalable, high-performance trading systems across multiple asset classes.
  • Collaborate directly with Traders to deliver high-impact solutions.
  • Build and develop applications for mission-critical trading platforms.
  • Architect and implement next-generation messaging and streaming technologies such as Kafka.
  • Drive technical innovation and contribute creative ideas for platform advancement.
  • Drive the adoption and scaling of GenAI practices within the software development workflow, bringing creative ideas on how to use AI tooling effectively and reliably.
  • Participate in code reviews and mentor teammates to strengthen engineering excellence.
  • Participate in the full software development lifecycle from design through to production.
  • Focus on continuous improvement and fast, iterative delivery.
  • Deploy code to production daily with confidence.
  • Add to team culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
  • Proven hands-on experience designing and building end-to-end software systems.
  • Experience with messaging and streaming technologies e.g. Kafka
  • Solid understanding of modern software architecture and design patterns.
  • Demonstrated ability to work in a fast-paced environment.
  • Commitment to building reliable, scalable, and maintainable systems.
  • Ability to collaborate effectively with cross-functional teams including Traders and Quants.
  • Dedication to continuous improvement and rapid delivery.
  • A passion for code quality, engineering excellence, and elegant solutions.
Preferred Qualifications, Capabilities, and Skills
  • Experience in financial services or Trading technology.
  • Knowledge of distributed systems and microservices architecture.
  • Knowledge of core Java and/or object-oriented design principles.
  • Understanding of observability and telemetry principles.
  • Interest in financial markets and trading workflows.
  • Interest in low-latency or high-throughput systems.
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