Software Engineer III- Java/Python, SQL, Databricks

JPMorgan Chase & Co.; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. invites you to join its Credit Risk Technology team as a Software Engineer III in Houston. You will work on a seasoned agile team to design, build, and deliver scalable risk technology in a secure environment.

The role emphasizes modernizing the credit risk tech stack and producing high-quality production code. Responsibilities include architecture artifacts, data visualizations, and proactive pattern discovery to enhance software and system design.

Qualifications

• Formal training or certification on software engineering concepts.
• 3+ years applied experience in design and development.
• Experience with modern programming languages and databases.

Responsibilities

• Participate in modernization and upgrade of the Credit Risk technology stack.
• Design, develop, and troubleshoot software solutions beyond routine approaches.
• Produce secure, high-quality production code and maintain algorithms.
• Create architecture and design artifacts ensuring constraints are met by code.
• Develop visualizations and reporting from large data sets for continuous improvement.
• Identify hidden data patterns to drive improvements in code and architecture.
• Contribute to engineering communities and explore new technologies.
• Leverage enterprise AI coding assist tools with peer review, testing, and secure coding standards.

Skills

Java

Python

SQL

SDLC

AI-assisted dev

DLC (Databricks)

Tools

Databricks

Tableau

ThoughtSpot

Kafka

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 the Corporate Sector - Credit Risk Technology organization, 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

• Participate in modernization and upgrade of the Credit Risk technology stack in accordance with the industry best practices
• 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

• 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.

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
• Proficient in coding ( Java or Python)
• Strong knowledge of relational databases/ Transact SQL (Oracle/Sybase/SQL Server)
• Strong Knowledge of Databricks
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle

• 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.

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies (e.g. AWS, Databricks, Snowflake)
• Business Intelligence Tools (Tableau/Business Objects/ThoughtSpot)
• Kafka Messaging
• Scala, Apache Spark