Software Engineer III - Trading Platform Development

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 120,000 - 170,000

Full time

4 days ago
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Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to join the Asset & Wealth Management Technology group in Jersey City. The role focuses on designing and delivering trusted market-leading technology products with secure, scalable code in an agile team.

You will work on multi-asset trading platform initiatives, contribute to microservices, and advance engineering practices across the SDLC, including AI-assisted coding tools and secure coding standards.

Qualifications

  • Formal training or certification in software engineering with 3+ years of experience.
  • Hands-on system design, application development, testing, and operational stability.
  • Hands-on experience with core Java across the SDLC, CI/CD, and production support.
  • Experience with Kafka, IBM MQ, Rabbit MQ, MSK and related streaming tech.
  • SQL and NoSQL databases, and event-driven architectures.
  • Caching systems such as Redis, GemFire, or Apache Ignite.
  • Experience using AI-assisted development tools with code reviews and testing.
  • Understanding of responsible AI use, data sensitivity, and secure handling.

Responsibilities

  • Collaborate with engineers to design, build, and deploy applications aligned with requirements.
  • Contribute to Java-based microservices using streaming, non-blocking, and reactive programming.
  • Work with Kafka, IBM MQ, Kubernetes, Redis, MSK, and AWS to deliver scalable systems.
  • Support domain-driven design and participate in architectural discussions.
  • Contribute to API design, Swagger/OpenAPI docs, logging, security, and monitoring.
  • Participate in code reviews and promote TDD/BDD for quality.

Skills

Software engineering fundamentals
System design
Java core
CI/CD
Distributed systems
DevOps
AWS
AI-assisted tools
Secure coding
Code review
TDD/BDD practices

Education

Formal training or certification in software engineering

Tools

Kafka
IBM MQ
Rabbit MQ
MSK
Redis
Kubernetes
Swagger/OpenAPI
AWS services

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Asset & Wealth Management Technology organization, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Join a team at the forefront of trading technology innovation. You’ll work in a collaborative environment where your contributions directly support the success of our multi-asset trading platform

Job Responsibilities
  • Collaborate with engineers to design, build, and deploy applications aligned with business and functional requirements.
  • Contribute to Java-based microservices using streaming, non-blocking, and reactive programming paradigms; write production-quality code.
  • Work with Kafka, IBM MQ, Kubernetes (K8s), Redis, Amazon MSK, and AWS services to deliver scalable, efficient systems.
  • Support domain-driven design adoption and participate in architectural discussions.
  • Contribute to technical documentation and service APIs (Swagger/OpenAPI), ensuring strong logging, auditability, security, and monitoring.
  • Participate in API design sessions and help select appropriate design patterns and integration approaches.
  • Engage in code reviews; promote TDD/BDD practices to ensure maintainability and quality.
  • Assist in demonstrating service scalability and resilience using mock frameworks, performance testing, and related tools.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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 software engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Hands-on practical experience in core Java across the Software Development Life Cycle, including system design, application development, testing, CI/CD pipelines, and operational support.
  • Experience with messaging and streaming technologies such as Kafka, IBM MQ, Rabbit MQ, MSK...
  • Working knowledge of SQL and NoSQL databases, and event-driven architectures.
  • Experience with caching systems like Redis, GemFire, or Apache Ignite
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Experience with distributed systems concepts and building services in patterns such asmicroservicesandRESTful APIs.
  • Practical understanding of DevOps toolchains, and agile, test-driven delivery.
  • Hands‑on exposure to AWS cloud services and ecosystems
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies (React)
  • Familiarity with trading systems; exposure to the FIX protocol is a plus.
  • Ability to solve complex, mission-critical problems with a pragmatic, hands‑on approach.
  • Continuous learner and early adopter of emerging technologies and methodologies.
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