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$147,425–$208,850.
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.
JPMorgan Chase currently has
1058 open roles
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As a Software Engineer III - AI Native Development within the Asset Management team, you will join an agile squad to design and deliver secure, stable, and scalable technology products. You are responsible for executing complex software solutions, creating high-quality production code, and maintaining algorithms while troubleshooting technical problems beyond conventional approaches. Your daily work involves leveraging enterprise-authorized AI coding assist tools for code generation, refactoring, and unit test creation while ensuring all outputs meet strict security standards. You will develop architecture artifacts, analyze large datasets to improve system performance, and manage the full software development life cycle. Technical requirements include proficiency in Java, Python, SQL, and Aurora/PostgreSQL. You will also utilize AWS services like Lambda and S3, manage messaging via Kafka or Kinesis, and implement infrastructure using Terraform or CloudFormation while integrating React for front-end needs.
What does a Software Engineer earn?
Median $196000 from 2031 postings across 144 companies.
Design, develop, and troubleshoot complex software solutions using non-conventional approaches to solve technical problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with existing systems.
Utilize enterprise-authorized AI coding tools to generate, refactor, and document code while ensuring security standards.
Produce architecture and design artifacts for complex applications while ensuring all design constraints are met.
Analyze large, diverse datasets to create visualizations and reports for continuous system improvement.
Identify hidden patterns in data to improve coding hygiene and overall system architecture.
Deploy and manage services using cloud infrastructure tools like AWS EC2, Lambda, and S3.
Manage messaging and data streaming processes using technologies such as Kafka or Amazon Kinesis.
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, Python, and SQL.
Hands-on experience using enterprise-authorized AI-assisted software development tools to create, troubleshoot, and refine outputs.
Understanding of responsible AI use, including data sensitivity, security, and guiding peers on safe usage.
Knowledge of the Software Development Life Cycle (SDLC), agile methodologies, CI/CD, application resiliency, and security.
Hands-on experience deploying services using AWS tools (EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB) and Infrastructure as Code (Terraform or CloudFormation).
Experience with messaging, data streaming, and event processing using Kafka or Amazon Kinesis/MSK/SQS/SNS; familiarity with React and AWS certifications (preferred).