Lead Software Engineer - Java/Python, SQL, Databricks

JPMorgan Chase & Co.; Houston (TX); On-site; USD 140,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in Houston is seeking a Lead Software Engineer to drive design, development, and delivery of trusted technology products within Corporate - Wholesale Credit Risk.

You will serve as a core technical contributor, collaborating in an agile team to build secure, scalable solutions that support the firm’s business objectives. Responsibilities include creating innovative solutions, reviewing production code, enabling enterprise AI-assisted practices, and guiding best practices in

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied software development experience.
• Experience delivering design, development, testing, and operations for scalable systems.

Responsibilities

• Develop secure, high-quality production code and review peers' code.
• Lead AI-assisted engineering practices to improve quality, speed, and reliability.
• Drive design and implementation across multiple tech areas to support business objectives.
• Collaborate with vendors and internal teams to evaluate architectural designs.

Skills

Java

Python

SQL/PLSQL

Databricks

RESTful APIs

Angular/EXT JS

Oracle/SQL Server

AI-assisted development

CI/CD / Agile

Security & resiliency

Tools

Databricks

AWS

Snowflake

Hadoop

S3

Dremio

Tableau

Business Objects

MIDAS

Kafka

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate sector - Wholesale Credit Risk team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficiency in Java and Python
• Strong SQL and PL/SQL skills
• Experience with Databricks
• Experience in Web/API development (RESTful services, Angular JS, EXT JS)
• Experience in RDBMS (Oracle, SQL Server)
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience with AWS and Snowflake
• Familiarity with big data tools (Hadoop, S3, Dremio data lake)
• Knowledge of business intelligence platforms (Tableau, Business Objects, MIDAS)
• Experience in Kafka messaging