Design, develop, and troubleshoot secure, production-grade software. Produce architecture and design artifacts, analyze large datasets, drive improvements in code quality and system architecture, and leverage enterprise AI-assisted tools while ensuring secure and responsible AI use.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. At JPMorganChase, you'll collaborate with a diverse, agile team to deliver trusted, market-leading technology products in a secure, stable, and scalable way. We value your expertise and encourage you to push the boundaries of what's possible. Join us and be part of a culture that celebrates innovation, inclusion, and continuous learning.
As a Software Engineer III at JPMorganChase within Corporate Technology, you will serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You will be 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 across design, development, and technical troubleshooting, thinking beyond routine approaches to build innovative solutions and break down complex technical problems
- Create secure, high-quality production code and maintain algorithms that operate synchronously with appropriate systems
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout 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
- Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture
- Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies
- Foster a team culture of diversity, opportunity, inclusion, and respect through active collaboration and engagement
- Leverages 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
- 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
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
- Proficiency in coding in one or more programming languages
- Experience developing, debugging, and maintaining code in a large-scale environment using 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, Databricks, PySpark, 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 and evolving user interface frameworks
- Exposure to cloud technologies including AWS, Databricks, and agentic AI solutions
- Knowledge of industry-wide technology trends and best practices across disciplines such as artificial intelligence, machine learning, and mobile development
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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