Senior Software Engineer – AI-Driven Platform & SRE

JPMorganChase; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase's Asset & Wealth Management infrastructure team is seeking a Software Engineer III to design and deliver trusted technology products in a secure, scalable way. You will work as a seasoned member of an agile team across multiple domains to support the firm's objectives.

This role focuses on building production-grade code, applying SRE/DevOps practices, and leveraging enterprise AI coding assistants.

Qualifications

• Formal training or certification in site reliability engineering concepts.
• 5+ years of applied experience, plus 2+ years leading technologists.
• Experience in SRE, DevOps, or Platform Engineering.
• Exposure to observability tools and cloud architecture.

Responsibilities

• Design, develop, and troubleshoot software in an agile team.
• Produce secure, high-quality production code with testing.
• Leverage AI coding assistants while maintaining peer review and security.
• Apply SDLC tools to automate and improve value delivery.
• Create architecture and design artifacts for complex apps.
• Glean insights from large data sets to improve software.
• Identify data patterns to drive architectural improvements.
• Follow best practices in SRE, DevOps, and observability.

Skills

SRE concepts

Leadership experience

Observability

Automation basics

AI in reliability

Talent development

Programming: Python/Java/.Net

CI/CD & containerization

Security and auditability

Cloud architecture

Education

SRE certification

Tools

OpenTelemetry

Grafana

Prometheus

ELK

CloudWatch

GitHub Copilot

CI/CD tooling

Kubernetes

AWS services

Job description

JPMorgan Chase's Asset & Wealth Management infrastructure team is seeking a Software Engineer III to design and deliver trusted technology products in a secure, scalable way. You will work as a seasoned member of an agile team across multiple domains to support the firm's objectives.

This role focuses on building production-grade code, applying SRE/DevOps practices, and leveraging enterprise AI coding assistants.