oracle
Lead Software Engineer- Python AI
JPMorgan Chase
Plano, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 1 weeks ago
javapython
Key Skills for This Role
javapython
Full Job Posting
Job Responsibilities
- Participates in, design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams
- Executes software solutions, design, development, and technical troubleshooting
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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 or contributes to architecture and design artifacts for applications while 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
- 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
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Hands-on practical experience in system design, application development, testing and operational stability
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proficient in coding in Java or Python languages
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Overall knowledge of the Software Development Life Cycle
- Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Familiarity working in identity & access management solutions.
- Exposure to AI/ML technologies
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