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$165,000–$211,200.
Based on 240 similar postings.
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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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1174 open roles
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As a Software Engineer III within the Asset Wealth Management/Investment Data and Risk Analytics team, you will join an agile team to design and deliver secure, stable, and scalable technology products. You are responsible for executing software solutions, troubleshooting complex problems, and creating high-quality production code while maintaining algorithms that run synchronously with various systems. Your daily work involves producing architecture artifacts, analyzing large data sets to improve system performance, and utilizing enterprise-authorized AI coding assist tools for refactoring, unit test creation, and documentation. You will leverage the full Software Development Life Cycle toolchain, including CI/CD and application resiliency practices. The role requires proficiency in Java, database querying languages, and React, while ensuring all outputs meet strict security standards within a large corporate environment to solve critical technical problems across multiple business functions.
What does a Software Engineer earn?
Median $196750 from 2011 postings across 148 companies.
Create secure, high-quality production code and maintain synchronized algorithms.
Utilize enterprise-authorized AI coding tools to improve code quality, delivery speed, and documentation.
Produce architecture and design artifacts while ensuring code meets specific design constraints.
Analyze large, diverse datasets to create visualizations and reports for system improvements.
Identify hidden patterns in data to improve coding hygiene and system architecture.
Validate and refine AI-generated outputs for correctness, performance, and security standards.
Guide peers on the safe and responsible use of AI tools within engineering workflows.
What we're looking for
Formal training or certification on software engineering concepts and 3+ years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code in a large corporate environment using Java and database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools to create, troubleshoot, and refine outputs for correctness and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
Overall knowledge of the Software Development Life Cycle.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Familiarity with modern front-end technologies like React (preferred) and exposure to cloud technologies (preferred).