Lead Python Engineer — AI, Security & Resilient Systems

JPMorganChase; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase's Enterprise Technology risk team seeks a Lead Software Engineer to design and deliver automated, secure software across multiple business functions. You will lead critical technology solutions, promote AI-assisted development, and ensure robust observability and resilience in production systems.

Strong Java or Python skills, 5+ years in software engineering, and experience with data pipelines and cloud-native tools are essential.

Qualifications

• 5+ years of software engineering experience.
• Proven track record delivering production-grade software.
• Advanced Java or Python development experience.

Responsibilities

• Designs, codes, tests, and delivers automation to reduce manual work and remediation items.
• Governs application risk and compliance with firm standards.
• Drives enterprise AI-assisted engineering practices for code quality and speed.
• Owns security and data accountability with proper data handling and access controls.
• Applies SDLC tools and enterprise AI capabilities to improve automation value.
• Coordinates across product and engineering teams to drive AO workstreams.
• Runs resilient production services with monitoring, security, and incident management.

Skills

Java

Python

Big Data

ETL pipelines

SRE practices

AI-assisted engineering

Observability

Security

Networking basics

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

AWS

Docker

Kubernetes

Job description

JPMorganChase's Enterprise Technology risk team seeks a Lead Software Engineer to design and deliver automated, secure software across multiple business functions. You will lead critical technology solutions, promote AI-assisted development, and ensure robust observability and resilience in production systems.

Strong Java or Python skills, 5+ years in software engineering, and experience with data pipelines and cloud-native tools are essential.