Senior Software Engineer: Build Secure, Scalable Systems

JPMorgan Chase & Co.; Fairfax (DE); On-site; USD 95,000 - 150,000; Full time

Job summary

JPMorganChase is seeking an Experienced Software Engineer within the Global Technology team to design and deliver trusted market-leading technology products in a secure, scalable way. Depending on the team, you may develop mobile features, big data strategies for trading, or cloud platform integrations.

You will participate in designing, coding, debugging, and delivering production-ready software while leveraging enterprise AI tooling to enhance quality and speed, and collaborating across the

Qualifications

• Hands-on experience in system design, development, testing and operational stability.
• Proficient in Java or Python with strong coding skills.
• Experience in large corporate environments and modern programming languages.
• Experience using AI-assisted development tools with evaluation of outputs.

Responsibilities

• Participates in, design and develop scalable and resilient systems using Java or Python.
• Executes software solutions, design, development, and troubleshooting.
• Leverages AI coding assist tools to improve quality, speed and productivity.
• Applies SDLC tooling to improve automation and value delivery.
• Produces production code and maintains algorithms that run with other systems.
• Contributes to architecture/design artifacts and data visualizations for improvements.
• Identifies data patterns to drive improvements in coding hygiene and architecture.
• Contributes to engineering communities of practice and fosters inclusive team culture.

Skills

Java

Python

System design

CI/CD

AI tooling

Job description

JPMorganChase is seeking an Experienced Software Engineer within the Global Technology team to design and deliver trusted market-leading technology products in a secure, scalable way. Depending on the team, you may develop mobile features, big data strategies for trading, or cloud platform integrations.

You will participate in designing, coding, debugging, and delivering production-ready software while leveraging enterprise AI tooling to enhance quality and speed, and collaborating across the