This listing doesn't post a salary. Most similar roles pay
$151,125–$216,000.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As a Software Engineer III within the Corporate Sector - Credit Risk Technology organization, you will join an agile team to design and deliver secure, stable, and scalable technology products. You will be responsible for modernizing the credit risk technology stack by developing high-quality production code, maintaining complex algorithms, and creating architecture artifacts that meet specific design constraints. Your daily work involves troubleshooting technical problems, analyzing large datasets to identify patterns, and utilizing enterprise-authorized AI coding tools to improve delivery speed and code quality. You will leverage Java or Python for development, utilize SQL for relational databases like Oracle or Sybase, and work extensively with Databricks. The role focuses on solving complex technical challenges within the credit risk domain while ensuring robust system architecture and high standards of coding hygiene across the software development lifecycle.
What does a Software Engineer earn in Texas?
Median $186925 from 189 postings across 40 companies.
Modernize and upgrade the Credit Risk technology stack following industry best practices.
Design, develop, and troubleshoot complex software solutions beyond routine approaches.
Create secure, high-quality production code and maintain synchronized algorithms.
Produce architecture and design artifacts while ensuring all design constraints are met.
Analyze large datasets to create visualizations and reports for continuous system improvement.
Identify hidden patterns in data to improve coding hygiene and system architecture.
Utilize enterprise-authorized AI tools to accelerate code generation, refactoring, and testing.
Apply SDLC toolchain knowledge to enhance automation across the development lifecycle.
What we're looking for
Formal training or certification in software engineering concepts and 3+ years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Proficiency in coding using Java or Python.
Strong knowledge of relational databases and Transact SQL (Oracle/Sybase/SQL Server).
Strong knowledge of Databricks.
Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages.
Comprehensive knowledge of the Software Development Life Cycle.
Hands-on experience using enterprise-authorized AI-assisted software development tools while ensuring security and accuracy.
Python
SQL
Spark
PySpark
AWS
Databricks
S3
EC2
EMR
CloudWatch
Machine Learning
Pandas
NumPy
Big Data
Data Pipelines
CI/CD
Agile
Apache Airflow
Control M
Python
Java
AWS
Data Bricks
Spark
Kafka
SQL
UNIX Shell Scripting
ETL
Big Data
Oracle
SQL Server
NoSQL
MongoDB
AWS Open Search
Machine Learning
AI
Agile