Software Engineer III, Python Fullstack, AI/ML
Quick summary
- Work type
- On-site
- Location
- Plano, TX
- Posted
- 2 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $160,975–$215,500.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has 436 open roles on FindRole.
Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.
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At a glance
TL;DR · Software Engineer III, Python Fullstack, AI/ML
As a Software Engineer III at JPMorgan Chase within Corporate Technology, you will join an agile team to develop secure, stable, and scalable technology solutions. Your responsibilities include full-stack Python development with expertise in containerization technologies such as Docker and Kubernetes, along with experience in deploying applications using AWS EKS. You will also leverage AI-assisted development tools like GitHub Copilot and Amazon CodeWhisperer to enhance developer productivity while staying informed about the latest advancements in generative AI for software engineering. This role requires proficiency in coding across multiple languages and a strong understanding of cloud-native practices, contributing to market-leading financial technology products at scale.
What you'll do
- Design and develop full-stack Python applications using best practices.
- Implement and manage containerization technologies like Docker and Kubernetes.
- Deploy and maintain applications on AWS EKS for cloud-native development.
- Utilize AI-assisted tools (GitHub Copilot, Amazon CodeWhisperer) to enhance coding efficiency.
- Stay updated with GenAI fundamentals to improve developer productivity.
What we're looking for
- 3+ years of Python full-stack development experience.
- Proficiency in at least one programming language and containerization technologies like Docker and Kubernetes.
- Experience with AWS EKS for deploying and managing containerized applications.
- Familiarity with cloud-native development practices and AI-assisted coding tools.
- Understanding of GenAI fundamentals to enhance developer productivity.
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