Software Engineer III – Java - Asset Management Trading Technology

JPMorgan Chase JPMorgan Chase · Banking · Singapore · Asset & Wealth Management

Software Engineer III role at JPMorgan Chase in Singapore, focusing on designing, building, and evolving industry-leading trading platforms. The role involves supporting critical applications, engineering solutions for order management, and driving technical innovation. A key aspect is driving the adoption and scaling of GenAI practices within the software development workflow.

What you'd actually do

  1. Support critical applications in production, interacting directly with users to resolve issues
  2. Design and engineer scalable, high-performance trading systems across multiple asset classes.
  3. Collaborate directly with Traders to deliver impactful solutions.
  4. Build and develop core Java applications for mission-critical trading platforms.
  5. Architect and implement next-generation messaging and streaming technologies such as Kafka and AMPS.

Skills

Required

  • Bachelor’s Degree in Computer Science or equivalent
  • Formal Training and certification on software engineering and 3+ years of applied experience
  • Proven hands-on experience designing and building end-to-end software systems.
  • Strong knowledge of core Java and object-oriented design principles.
  • 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.
  • Passion for code quality, engineering excellence, and elegant solutions.
  • Dedication to continuous improvement and rapid delivery.
  • Strong problem-solving skills and creative thinking

Nice to have

  • Kotlin nice to have.
  • Experience in financial services or Trading technology.
  • Knowledge of distributed systems and microservices architecture.
  • Understanding of observability and telemetry principles.
  • Interest in financial markets and trading workflows.
  • Experience mentoring or leading technical teams.
  • Exposure to low-latency or high-throughput systems.

What the JD emphasized

  • 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.