Software Engineer III, Production Management Markets

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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 FICC Production Management , 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. You will use both creative and critical thinking skills as well as problem solving skills to maintain and continuously improve our global application systems. You would support application systems that are crucial to the daily operations of the firm for Commodities and CEM business . You will also your technical skills (mostly Python, AI and AWS Cloud) to deep dive into front office flow related application issues and build/enhance software solution to improve the support experience for our business users.

Job Responsibilities

• Provides trade floor support to the FX and Commodities front office traders and middle office operations
• 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. 
• Troubleshoots complex business and infrastructure related issues with the in-house trading applications in order to ensure continuity of the business and minimum downtime of the systems
• Develops the monitoring tools, automation solutions, helper APIs and other tools to reduce the manual work
• Drives projects related to new business onboarding, infrastructure upgrades and resiliency management

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Bachelor's Degree in Computer Science or equivalent
• Demonstrates good problem solving and analytical skills for troubleshooting, resolving, and maintaining information technology services related to front/middle office trading and infrastructure
• Demonstrates experience using enterprise-authorized AI capabilities within the work environment to support production support workflows with strong validation habits and awareness of data sensitivity
• Ability to review and validate AI-assisted incident recommendations before action, escalating when uncertain and following operational and security expectations.
• Experience with one or more general purpose programming languages (Python) and automation scripting
• Possess strong communications skills, both verbal and written
• Experience managing applications or infrastructure in a large-scale technology environment both on premises and public cloud and is proficient in observability and monitoring tools and techniques
• Experience executing on processes in scope of the Information Technology Infrastructure Library (ITIL) framework
• 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

Preferred qualifications, capabilities and skills

• Good domain knowledge of the front and/or middle office business (FX, Commodities)