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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 on the Corporate Technology Employee Platforms team, you will join an agile team to design and deliver secure, stable, and scalable technology products. You are responsible for executing complex software solutions, troubleshooting technical 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 datasets to improve system performance, and utilizing enterprise-authorized AI coding assist tools for tasks like refactoring, unit test creation, and documentation. You must critically evaluate AI outputs for security and correctness while ensuring adherence to standard software development life cycle practices. The role requires expertise in modern programming languages, database querying, and agile methodologies including CI/CD and application resiliency to solve technical challenges across multiple business functions within a large corporate environment.
What does a Software Engineer earn in Texas?
Median $178175 from 145 postings across 37 companies.
Create secure, high-quality production code and maintain synchronized algorithms for large systems.
Utilize enterprise-authorized AI coding tools to improve code quality, delivery speed, and documentation.
Validate and refine AI-generated outputs to ensure they meet performance, security, and accuracy standards.
Produce architecture and design artifacts while ensuring software code meets all defined constraints.
Analyze and visualize large datasets to drive improvements in system architecture and coding hygiene.
Implement automation capabilities within the Software Development Life Cycle toolchain to increase value.
Guide team members on the safe and responsible use of AI tools in engineering workflows.
What we're looking for
Formal training or certification on software engineering concepts.
3+ years of applied experience in software engineering.
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 modern programming languages and database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools to create, troubleshoot, and refine outputs for performance 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.