Software Engineer III - Python/Databricks/AWS

JPMorgan Chase; Wilmington (DE); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase is seeking a Software Engineer III to design and deliver trusted market-leading technology products in a secure, scalable way. You will work as a seasoned agile team member to develop production-grade code using Python, Databricks and AWS, while leveraging AI-assisted tools to improve speed, quality, and security.

Responsibilities include building data pipelines, contributing to architecture decisions, and delivering solutions that support the firm's business objectives with a

Qualifications

• Formal training or certification in software engineering concepts with 3+ years of applied experience.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to tackle non-routine problems.
• Creates secure, high-quality production code and maintains supporting algorithms.
• Leverages enterprise AI coding assist tools to boost code quality, delivery speed, and productivity with peer review and testing.
• Applies Software Development Life Cycle tools to improve automation and value.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met.
• Gathers, analyzes, and visualizes data from large datasets to continuously improve software.
• Identifies hidden data patterns to drive improvements in code hygiene and system architecture.

Skills

Python

Databricks

AWS

Data pipelines

Agile methodologies

CI/CD

Software design

Tools

AI-assisted development tools

SDE tooling

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 - Python/Databricks/AWS at JPMorganChase within the Corporate Technology team, 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 breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Strong experience with Python, Databricks, AWS, building and maintaining data pipelines
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

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