Design and build scalable, resilient Java-based systems as part of an agile team. Produce secure, high-quality production code; contribute to architecture, troubleshooting, and operational stability. Analyze large datasets to improve applications, use enterprise-authorized AI-assisted development tools responsibly, and follow SDLC, CI/CD, resiliency, and security practices.
Push the limits of what's possible with us as an experienced member of our Software Engineering team.
As a Software Engineer III at JPMorganChase within the Digital and Platform Services team, you serve as a member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms.s.
Job Responsibilities
- Design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams
- Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
- Produce and contribute to architecture and design artifacts for applications while ensuring design constraints are met by software code development
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
- Contribute to software engineering communities of practice and events that explore new and emerging technologies
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
- Apply 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
- Add to team culture of diversity, opportunity, inclusion, and respec
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in Java
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as continuous integration/continuous delivery, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies, specifically Amazon Web Services (AWS)
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
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