Software Engineer II – Real-Time Liquidity & Payments

JPMorgan Chase & Co.

Christchurch

On-site

GBP 85,000 - 110,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. is seeking a Software Engineer II to contribute to the Global Liquidity and Cash Management Technology team.

You will design, build and support high-performance services for the liquidity business, collaborating with global engineers and stakeholders to deliver modern, robust software with secure coding practices. You will engage in estimation, planning, code reviews, architecture design sessions and retrospectives, while leveraging AI-assisted tools to enhance quality and

Qualifications

  • Formal training or certification on Java concepts and proficient applied experience.
  • Understanding of Java 17+ fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks
  • Experience with modern testing tools (JUnit, Mockito, Spring Test Framework)
  • Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB)
  • Familiarity with maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services
  • Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders
  • Understanding of the full software development lifecycle and agile approach
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Responsibilities

  • Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices
  • Write secure, high-quality code and automated tests
  • Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code
  • Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems
  • Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies
  • Collaborate effectively as part of a global team
  • Provide out of hours application support and coordinate of Production releases
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Skills

Java
Java 17+
Spring Boot
OO programming
Multi-threading
Web services
Security considerations
Agile
Communication
Global collaboration

Education

Formal Java training/certification

Tools

JUnit
Mockito
Spring Test Framework
CockroachDB
Linux
Containers
Envoy
gRPC
Protobuf
Terraform
Kubernetes
AWS
AI-assisted development tools

Job description

JPMorgan Chase & Co. is seeking a Software Engineer II to contribute to the Global Liquidity and Cash Management Technology team.

You will design, build and support high-performance services for the liquidity business, collaborating with global engineers and stakeholders to deliver modern, robust software with secure coding practices. You will engage in estimation, planning, code reviews, architecture design sessions and retrospectives, while leveraging AI-assisted tools to enhance quality and

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