As a Software Engineer III - Python/Agentic AI at JPMorgan Chase within the Corporate Sector's Risk Technology Team, the business and/or technical problem is to design and deliver trusted market-leading technology products in a secure, stable, and scalable way, serving as a seasoned member of an agile team to carry out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Requirements
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in Python but good Java experience can be considered.
- Experience in working with Python data libraries.
- Must have experience designing, developing and deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3, RDS and Aurora
- 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
Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Use Agentic AI to create write new software.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Other
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
