Lead Python Software Engineer — AI-Driven Automation

JPMorgan Chase; Wilmington (DE); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

JPMorganChase seeks a Lead Software Engineer-PYTHON to influence architecture and delivery in Enterprise Technology. You will design and implement automation, drive AI-assisted engineering practices, and ensure secure, scalable services across multiple domains.

The role requires advanced Python/Java, data processing experience, and strong observability. You will mentor teams, govern risk, and lead resilient production services in a global financial environment.

Qualifikationen

• 5+ years software engineering experience and formal training or certification.
• Proven track record delivering production-grade software.
• Advanced development in Java or Python with debugging skills.
• Experience building scalable data processing and ETL pipelines.
• Knowledge of infrastructure and cloud concepts.

Aufgaben

• Design, code, test and deliver automation and AI-assisted tooling.
• Govern application risk and ensure compliance with firm standards.
• Promote enterprise AI practices and secure coding standards.
• Own security, data accountability, and proper data handling.
• Improve reliability and drive incident response and recovery.
• Coordinate across teams to prioritize work and share knowledge.
• Operate production services with monitoring, logging and SRE practices.

Kenntnisse

Python

Java

Big Data

SRE

AI-assisted

Observability

Ausbildung

Formal software engineering training/certification

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

AWS

Docker

Kubernetes

Jobbeschreibung

JPMorganChase seeks a Lead Software Engineer-PYTHON to influence architecture and delivery in Enterprise Technology. You will design and implement automation, drive AI-assisted engineering practices, and ensure secure, scalable services across multiple domains.

The role requires advanced Python/Java, data processing experience, and strong observability. You will mentor teams, govern risk, and lead resilient production services in a global financial environment.