Develop and maintain secure, scalable enterprise applications as a senior agile team member. Build Java and Spring Boot backends, React and TypeScript frontends, REST APIs, and AWS cloud solutions. Design architectures, troubleshoot complex technical issues, optimize PostgreSQL databases, and develop AWS Glue data workflows. Apply secure coding, resiliency, CI/CD, testing, and responsible AI-assisted development practices while analyzing data to improve systems and engineering effectiveness.
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 and 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
As a Software Engineer III at JPMorganChase within the Consumer and 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
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience in system design, application development, testing, and 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.
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Strong hands-on experience developing modern web applications using React.js, JavaScript/TypeScript, HTML5, and CSS.
- Extensive experience building scalable enterprise applications using Java and related frameworks such as Spring Boot and RESTful APIs.
- Proven expertise with AWS cloud services, including application deployment, monitoring, security, and cloud-native architecture design.
- Experience working with AWS Glue for data integration, ETL processing, and large-scale data transformation workflows.
- Strong knowledge of PostgreSQL database design, performance tuning, query optimization, and data modeling.
Preferred qualifications, capabilities, and skills
- Exposure to cloud technologies
- AWS Certification (Solutions Architect, Developer, or equivalent).
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