Software Engineer III - Python/Databricks/AWS

JPMorgan Chase & Co.; Whitewater (CO); On-site; USD 110,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to join the Corporate Technology team.

You will be a seasoned member of an agile team designing and delivering trusted market-leading technology products in a secure, scalable way. You will work across multiple areas to support the firm’s business objectives, building data pipelines, AI-assisted tools, and robust software solutions while ensuring security and operational stability.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience with system design, development, testing, and operational stability.
• Hands-on experience using enterprise AI-assisted development tools and evaluating AI outputs.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with non-routine approaches.
• Creates secure, high-quality production code and maintains algorithms.
• Uses enterprise AI coding assist tools to improve code quality and speed, with peer review and secure coding.
• Applies SDLC tools and AI-assisted development to improve automation value.
• Produces architecture and design artifacts for complex applications and ensures constraints are met by code.
• Gathers and visualizes data from large datasets to improve software and systems.
• Identifies hidden data patterns to drive improvements in coding hygiene and architecture.

Skills

Python

Databricks

AWS

Data pipelines

Software design

AI-assisted development

CI/CD

Security

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