Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions in an enterprise environment. The role involves creating production code, developing architecture and design artifacts, analyzing large datasets, improving system reliability, and using AI-assisted development tools responsibly. The engineer collaborates across agile teams, contributes to engineering communities, and applies technologies such as Python, Databricks, PySpark, cloud platforms, and artificial intelligence.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. At JPMorganChase, we believe in investing in our people — offering you the tools, mentorship, and environment to grow, innovate, and make a real impact. You'll be part of a culture that values diversity, inclusion, and continuous learning, where your contributions directly shape the technology that serves millions of customers worldwide.
As a Software Engineer III at JPMorganChase within Corporate Technology, 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. In this role, you will collaborate across teams to solve complex technical challenges, contribute to engineering communities of practice, and help drive a culture of excellence and innovation. objectives.
Job responsibilities
- Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex problems and build scalable solutions
- Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout the software code development lifecycle
- 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 to coding hygiene and system architecture
- Contribute to software engineering communities of practice and events that explore new and emerging technologies
- Foster a team culture of diversity, opportunity, inclusion, and respect
- 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
- Solid understanding of the Software Development Life Cycle
- Working knowledge 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
- Exposure to cloud technologies such as Amazon Web Services or equivalent cloud platforms
- Experience with Databricks and agentic AI solutions
- Familiarity with modern front-end technologies and frameworks
- Experience working in a large enterprise environment with cross-functional engineering teams
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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