Software Engineer II - Low-Latency Java and Kafka

Join JPMorgan’s Global Liquidity and Cash Management Technology team and be part of a dynamic group dedicated to delivering innovative technology products.

We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank’s Payments business.

Our systems manage client liquidity in real-time, supporting cash demands and building a next-generation core wholesale banking platform designed for global scale and rapid response.

As a Software Engineer II at JPMorgan Chase within the Global Liquidity and Cash Management Technology team, you will be responsible for building and supporting services for our market-leading liquidity business.

You will contribute features, enhancements and bug fixes – ensuring our codebase remains modern, well-structured and robust.

You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives.

This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources.

You will have the chance to grow your skills through our curated technical development programs and dedicated training days.

This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe.

While banking experience is not required, you must be a passionate and well-rounded technologist, eager to continuously learn and enhance your skills.

Job 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

Required qualifications, capabilities, and skills

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)

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.

Preferred qualifications, capabilities, and skills

Hands on experience another statically compiled language like Rust, GoLang or C++

Experience in building high-performance, latency-sensitive Java applications

Experience with OSI Layer 7 proxies (e.g.

Envoy )

with gRPC and Google Protocol Buffers

Experience with infrastructure as code software, e.g.

Terraform

Certified Kubernetes and public cloud knowledge (e.g.

CKAD and AWS certifications)