JPMorgan Chase
From JPMorgan Chase's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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 and Wealth Management Technology team, 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.
Job responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Designs, builds, and operates microservices and APIs for Tax Platform capabilities using Java (primary) and Python (as needed), with strong engineering discipline across testing, code reviews, automation, and observability
Builds and supports event-driven/data streaming solutions using Kafka (topic design, producers/consumers, schema management patterns, error handling/retries, idempotency, and operational monitoring)
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
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Develops and operates services on Private Cloud platforms, contributing to deployment automation, resiliency patterns, and platform reliability in production environments
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene, platform resiliency, and system architecture
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
Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
Proficiency in Java and React, with experience building microservices-based applications; willingness to learn and adopt new technologies as needed
Hands-on experience with Kafka processing/streaming (building and operating producers/consumers; understanding of delivery semantics, ordering, retries, and monitoring)
Experience with Private Cloud and/or cloud platforms ,distributed systems, and web technologies including RESTful APIs, web services and JSON
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.
Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
Working proficiency in Python
Experience building platforms in regulated / controls-heavy environments requiring auditability and data governance
Familiarity with LLM integration patterns (e.g., retrieval-augmented approaches, tool/function calling, prompt templates, evaluation frameworks)
Familiarity with modern front-end technologies
Exposure to cloud technologies
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