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Software Engineer III - Trading Platform Development

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 6 days ago

No clicks

**Software Engineer III - Trading Platform Development** in Jersey City, NJ designs and delivers market-leading, secure, and scalable technology products. Duties include collaborating with engineers to build Java-based microservices using reactive programming, Kafka, Kubernetes, and AWS services. This role supports the adoption of domain-driven design, promotes TDD/BDD, and ensures service scalability and resilience. The ideal candidate boasts 3+ years in software engineering, proficiency in core Java, messaging technologies, distributed systems concepts, and exposure to AWS. Familiarity with trading systems and front-end technologies like React is preferred. This role demands a pragmatic problem-solver who embraces emerging technologies.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Full Job Description

Location: Jersey City, NJ, United States

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 firms business objectives.

 

Join a team at the forefront of trading technology innovation. Youll 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 as microservices and RESTful 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.

Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III - Trading Platform Development

Compensation

Not specified

City: Not specified

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

6 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer III - Trading Platform Development** in Jersey City, NJ designs and delivers market-leading, secure, and scalable technology products. Duties include collaborating with engineers to build Java-based microservices using reactive programming, Kafka, Kubernetes, and AWS services. This role supports the adoption of domain-driven design, promotes TDD/BDD, and ensures service scalability and resilience. The ideal candidate boasts 3+ years in software engineering, proficiency in core Java, messaging technologies, distributed systems concepts, and exposure to AWS. Familiarity with trading systems and front-end technologies like React is preferred. This role demands a pragmatic problem-solver who embraces emerging technologies.

Full Job Description

Location: Jersey City, NJ, United States

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 firms business objectives.

 

Join a team at the forefront of trading technology innovation. Youll 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 as microservices and RESTful 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.

Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team