Software Engineer II

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer II at JPMorganChase within the Consumer and Community Banking, 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.

Job Responsibilities

• Participates in, design and develop scalable and resilient systems using Java and/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
• Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
• 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:

• Strong Skills in Python and/or  Java programming Needed.

• Hands-on experience with cloud platforms (Azure  and/or AWS) for ML deployments with AI enabled
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.

Preferred qualifications, capabilities, and skills:

• Great to have experience with ML Frameworks : TensorFlow, PyTorch
• Good to have understanding of supervised and unsupervised learning algorithms, model selection, and evaluation.