Software Engineer III -Python Fullstack - AI/ML

JPMorgan Chase & Co.; Plano (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, Texas is offering an opportunity for a Software Engineer III in Corporate Technology. You will be a key player on an agile team, tasked with designing and delivering innovative software solutions while ensuring aligned practices for secure and scalable technology.

The ideal candidate should possess strong Python Full-stack development experience, familiarity with container technologies like Docker and Kubernetes, and a solid understanding of agile methodologies to drive improvements in software applications.

Qualifications

• 3+ years experience Python Full-stack development.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience with containerization technologies like Docker and Kubernetes.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting.
• Creates secure and high-quality production code.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large data sets.

Skills

Python Full-stack development

System design

Application development

Containerization technologies (Docker, Kubernetes)

Cloud-native development

Agile methodologies

AI-assisted development tools

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job 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

Required qualifications, capabilities, and skills

• 3+ years experience Python Full‑stack development.
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience with containerization technologies (Docker, Kubernetes) and container orchestration in production environments
• Exposure to cloud‑native development and AWS services, particularly AWS EKS (Elastic Kubernetes Service) for deploying and managing containerized applications
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Familiarity with AI‑assisted development tools and agentic coding workflows (e.g., GitHub Copilot, Amazon CodeWhisperer) and understanding of GenAI fundamentals for developer productivity
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front‑end technologies
• Exposure to cloud technologies