Software Engineer III

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 Consumer & Community Banking, 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

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine approaches to solve complex technical problems.
• Build secure, high-quality production code and scalable services, with strong focus on reliability, resiliency, and performance.
• Design and develop AI-powered capabilities, including AI agent-based workflows, and integrate ML models into production applications.
• Leverage enterprise-authorized AI coding assistants (Claude/Copilot) in day-to-day engineering activities (coding, refactoring, test generation, documentation), while validating outputs through peer review, testing, and secure coding practices.
• Develop and optimize cloud-native solutions on AWS, including backend services, data integrations, and platform components.
• Work with SQL databases to design schemas, write performant queries, and ensure data quality and consistency across systems.
• Produce architecture and design artifacts and ensure software implementations align with design constraints and enterprise standards.
• Collaborate across product, data, and engineering teams in agile delivery participate in code reviews, incident response, and continuous improvement initiatives.

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts with 4+ years of applied experience.
• Demonstrated proficiency in AI agent development and practical understanding of machine learning model lifecycle and integration patterns.
• Hands-on experience using enterprise-authorized AI-assisted development tools (Claude/Copilot) with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Strong hands-on experience with AWS services and cloud engineering best practices.
• Solid experience with SQL databases, query optimization, and relational data modeling.
• Strong knowledge of Software Development Life Cycle practices, including CI/CD, application resiliency, and security controls.
• Must meet at least one of the following capability tracks:
  • Track A (Python/Data Engineering): Strong Python backend development with ETL/data pipeline experience using Spark/PySpark.
  • Track B (Java Full Stack): Strong Java backend development (e.g., Spring Boot) plus frontend development experience with React.

Preferred Qualifications, Capabilities, and Skills

• Exposure to public cloud technologies - AWS
• Experience implementingCI/CD and infrastructure automationusingTerraformplus pipeline/release tools such asJenkinsandSpinnaker.
• Knowledge of responsible AI practices, including secure data handling, traceability, and governance in regulated environments.
• Prior experience in financial services or other highly regulated enterprise domains.