Lead Software Engineer - AI-Driven Real-Time Python

JPMorganChase; New York (NY); On-site; USD 170,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer within the Data Management, Data Tech team in New York. You will be a core technical contributor responsible for building trusted, scalable technology products and driving AI-assisted development across multiple business functions.

You will lead the design and implementation of real-time systems using Python, mentor teams, and advocate secure, automated CI/CD practices while promoting diverse, inclusive engineering culture.

Qualifications

• 5+ years of relevant software engineering experience.
• Experience delivering system design, application development, testing, and operations.
• Experience leading AI-assisted software development tools and ensuring output correctness.
• Cloud-native experience with secure coding and deployment practices.
• Proficiency in automation and CI/CD; strong understanding of security considerations.

Responsibilities

• Executes creative software solutions and tackles complex technical problems.
• Lead with an AI-driven approach in daily tasks.
• Design and develop real-time, mission-critical systems using Python.
• Address large-scale engineering challenges with Python stack.
• Enhance performance, stability, and reliability; foster inclusive engineering culture.
• Lead evaluation sessions with external vendors and internal teams on architecture.

Skills

5+ years software engineering

Python

CI/CD

Cloud

AI/ML

Agile

Security

Automation

Tools

AWS

Typescript

LLMs (Claude/ChatGPT)

Job description

JPMorganChase is seeking a Lead Software Engineer within the Data Management, Data Tech team in New York. You will be a core technical contributor responsible for building trusted, scalable technology products and driving AI-assisted development across multiple business functions.

You will lead the design and implementation of real-time systems using Python, mentor teams, and advocate secure, automated CI/CD practices while promoting diverse, inclusive engineering culture.