DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
- Develop and deploy machine learning models and generative AI capabilities.
- Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine 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 architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve 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 exploring new and emerging technologies.
- Add to team culture of diversity, equity, inclusion, and respect.
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 Python.
- Proficient in the use of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark).
- Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle.
- Solid understanding of agile methodologies such as CI/CD, 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.).
Preferred Qualifications, Capabilities, and Skills
- Familiarity with modern front-end technologies (e.g., React).
- Exposure to cloud technologies (e.g., Kubernetes & AWS).