Senior Python Full-Stack Engineer — AI/ML & Cloud

Next Frontier Capital; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health care

Retirement plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III within Corporate Technology to design and deliver secure, scalable technology products as part of an agile team.

You will contribute to production code, architecture artifacts, and data-driven improvements across multiple business functions. The role requires 3+ years of Python full-stack experience, containerization with Docker/Kubernetes, and familiarity with cloud-native AWS services (EKS).

Qualifications

• 3+ years experience Python Full-stack development.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Python

Full-stack development

CI/CD

Tools

Docker

Kubernetes

AWS EKS

GitHub Copilot

CodeWhisperer

Job description

JPMorgan Chase & Co. is seeking a Software Engineer III within Corporate Technology to design and deliver secure, scalable technology products as part of an agile team.

You will contribute to production code, architecture artifacts, and data-driven improvements across multiple business functions. The role requires 3+ years of Python full-stack experience, containerization with Docker/Kubernetes, and familiarity with cloud-native AWS services (EKS).