Lead Python GenAI Engineer — Scale & Reliability

JPMorganChase

Wilmington (DE)

On-site

USD 180,000 - 230,000

Full time

1 hour ago
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Job summary

JPMorganChase is seeking a Lead Software Engineer Python GenAI in the Corporate Sector's Model Delivery and Platform Engineering team. You will be a core technical contributor designing and delivering trusted, scalable technology with strong security and operational controls.

You will drive AI-assisted development, improve reliability, and collaborate across engineering teams to align execution with business objectives.

Qualifications

  • 5+ years of software engineering experience.
  • Advanced development experience in Java or Python.
  • Hands-on experience with AWS and container platforms (Docker/Kubernetes/ECS).
  • Experience building scalable data processing and Big Data/ETL pipelines.
  • Working knowledge of core infrastructure and networking troubleshooting.
  • Deep proficiency in reliability, security, and toil reduction with SRE practices.
  • Proficiency with monitoring and telemetry tools (Grafana, Dynatrace, Prometheus, Datadog, Splunk).
  • Experience leading AI-assisted software development and secure AI adoption.

Responsibilities

  • Design, code, test, and deliver automation (including LLMs/agents) to streamline remediation work.
  • Govern application risk, controls, and compliance; align with firm standards and drives issue closure.

Skills

Java
Python
Debugging
SRE practices
AI-assisted development
Team collaboration

Education

Formal software engineering training

Tools

Docker
Kubernetes
ECS
Grafana
Dynatrace
Prometheus
Datadog
Splunk

Job description

JPMorganChase is seeking a Lead Software Engineer Python GenAI in the Corporate Sector's Model Delivery and Platform Engineering team. You will be a core technical contributor designing and delivering trusted, scalable technology with strong security and operational controls.

You will drive AI-assisted development, improve reliability, and collaborate across engineering teams to align execution with business objectives.

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