Software Engineer III - Trading Technology | Asset Management

JPMorgan Chase & Co.•New York, NY

4d•$137,750 - $185,000

About The Position

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 Management Trading Technology organization, you will 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. As a part of the Trading Technology team, the Software Engineer III will help transform trading. You will design, build, and evolve industry-leading platforms that manage orders and execute trades across diverse asset classes. Working closely with Traders, you will support critical applications in production and engineer solutions that automate and optimize the order management lifecycle. You will be part of a team that values technical excellence, creative problem-solving, and rapid delivery, where your expertise will directly shape the future of trading technology.

Requirements

Formal Training and certification on software engineering and 3+ years of applied experience
Hands-on practical experience in system design, application development, testing, and operational stability. Proven hands-on experience designing and building end-to-end software systems.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Strong knowledge of core Java or Kotlin and object-oriented design principles.
Experience with messaging and streaming technologies e.g. Kafka, RabbitMQ, etc.
Solid understanding of modern software architecture and design patterns.
Commitment to building reliable, scalable, and maintainable systems.
Ability to collaborate effectively with cross-functional teams including Traders and Quants.
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.
Overall knowledge of the Software Development Life Cycle. Passion for code quality, engineering excellence, and elegant solutions.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Dedication to continuous improvement and rapid delivery.

Nice To Haves

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.

Responsibilities

Support critical applications in production, interacting directly with users to resolve issues
Design and engineer scalable, high-performance trading systems across multiple asset classes.
Collaborate directly with Traders to deliver impactful solutions.
Build and develop core Java applications for mission-critical trading platforms.
Architect and implement next-generation messaging and streaming technologies such as Kafka and AMPS.
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.
Lead code reviews and mentor team members to ensure engineering excellence.
Participate in the full software development lifecycle from design through to production.
Focus on continuous improvement and fast, iterative delivery.
Deploy code to production daily with confidence.