Lead Software Engineer: Cloud, DevOps & AI-Driven Security

Aumni

Columbus (OH)

On-site

USD 170,000 - 250,000

Full time

6 days ago
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Job summary

JPMorgan Chase & Co. in the United States seeks a Lead Software Engineer in the Cybersecurity and Technology Controls group to drive secure, scalable technology and deliver trusted outcomes across multiple business functions.

You will be a core technical contributor, blending software engineering, DevOps, and cloud engineering, with a focus on automation, AI-assisted development, and robust, observable production systems.

Qualifications

  • 5+ years of software engineering experience.
  • Experience delivering system design, development, testing, and operational stability.
  • Advanced in Java, Python, or Go.
  • Cloud-native experience with AWS.
  • Hands-on Terraform experience and IaC practices.
  • Experience with AI-assisted development tools and workflows.

Responsibilities

  • Executes creative software solutions and debugging across complex problems.
  • Develops secure, production-ready code and reviews others' code.
  • Drives AI-assisted engineering practices for code quality and test strategy.
  • Applies SDLC tools to improve automation and value delivery.
  • Identifies and automates recurring issues to improve stability.
  • Leads cloud implementation designs and end-to-end automation.
  • Creates automated tests and enforces quality gates.
  • Mentors engineers and leads communities of practice.
  • Learns new technologies and delivers production-ready work.

Skills

Java
Python
Go
AWS
CI/CD
AI-assisted tooling

Tools

Terraform
Kubernetes
CI/CD tools

Job description

JPMorgan Chase & Co. in the United States seeks a Lead Software Engineer in the Cybersecurity and Technology Controls group to drive secure, scalable technology and deliver trusted outcomes across multiple business functions.

You will be a core technical contributor, blending software engineering, DevOps, and cloud engineering, with a focus on automation, AI-assisted development, and robust, observable production systems.

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