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 implementing CI/CD and infrastructure automation using Terraform plus pipeline/release tools such as Jenkins and Spinnaker.
- 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.
