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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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As a Software Engineer III - AWM, you will join an agile team within Asset & Wealth Management 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 datasets to improve system performance, and utilizing enterprise-authorized AI coding tools to enhance development speed and quality through refactoring and unit test creation. You will navigate the full Software Development Life Cycle using CI/CD, application resiliency, and security standards. Required skills include experience in system design, modern programming languages, database querying, and responsible AI usage. Preferred qualifications include familiarity with cloud technologies and modern front-end tools to support diverse business functions.
What does a Software Engineer earn in Georgia?
Median $191500 from 32 postings across 15 companies.
Create secure, high-quality production code and maintain synchronized algorithms.
Utilize enterprise-authorized AI coding tools to improve code quality, refactoring, and unit test creation.
Validate AI-generated outputs through peer review, automated testing, and secure coding standards.
Produce architecture and design artifacts while ensuring software code meets specific design constraints.
Analyze large, diverse datasets to create visualizations and reports for system improvement.
Identify hidden patterns in data to improve coding hygiene and system architecture.
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 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.
Familiarity with modern front-end technologies (preferred); exposure to cloud technologies (preferred).