We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Software Engineer III at JPMorgan Chase, 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:
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Design and Build Infrastructure Components: Design and build robust infrastructure components to support our technology solutions.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Build Application Components: Develop application components using Java, ensuring high-quality and secure code.
- Write Secure Code: Write secure, high-quality code with minimal guidance, considering the impact on upstream and downstream systems.
- Design, Develop, and Troubleshoot: Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications.
- Designing and implementing infrastructure and application components on Azure and AwS.
- Support Deployments and Configuration: Support deployments and configuration management to ensure smooth operations.
- Data Analysis: Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development.
- Learn and Apply System Processes: Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems.
Required qualifications, capabilities, and skills:
- Education and Experience: Formal training or certification in software and engineering concepts, with 3+ years of applied experience.
- System Design and Development: Hands-on experience in system design, application development, testing, and ensuring operational stability.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Programming and Debugging: Experience in developing, debugging, and maintaining code in a corporate environment using modern programming and database querying languages.
- Java and API Development: Proficiency in Java, Spring Boot, and API development.
- Cloud Technologies: Hands-on experience with AWS and Azure cloud platforms.
- Containerization: Experience with Kubernetes for automating deployments, scaling, and management.
- Database Management: Proficiency with SQL databases.
- Scripting: Experience with scripting technologies such as Shell and Python.
- API Gateways: Knowledge of API gateways and their configuration.
Preferred qualifications, capabilities, and skills:
- Mobile Development: Experience in mobile application development.
- UI Development: Proficiency in UI development using Angular or React.
- Networking: Understanding of networking concepts.
- Software Development Life Cycle: Comprehensive experience across the entire SDLC.
- Infrastructure Automation: Experience with Terraform for automating infrastructure tasks.