This listing doesn't post a salary. Most similar roles pay
$139,373–$207,000.
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
1058 open roles
on FindRole.
As a Software Engineer III at JPMorganChase within the CDAO group, you will join an agile team to design and deliver secure, stable, and scalable technology products. You are responsible for executing software solutions, troubleshooting complex problems, and creating high-quality production code while maintaining synchronized algorithms. Your daily work involves producing architecture artifacts, analyzing large datasets to create visualizations, and identifying patterns to improve system architecture. You will utilize enterprise-authorized AI coding tools for refactoring, unit testing, and documentation while ensuring all outputs meet security standards. The role requires expertise in the Software Development Life Cycle, CI/CD, and application resiliency. Required skills include experience with modern programming languages, database querying, and systems design. Preferred qualifications include familiarity with cloud technologies and modern front-end tools to support various business functions.
What does a Software Engineer earn in Washington?
Median $207500 from 315 postings across 35 companies.
Create secure, high-quality production code and maintain synchronized algorithms for various systems.
Utilize enterprise-authorized AI coding tools to generate, refactor, and document code while ensuring security standards.
Integrate automation capabilities within the Software Development Life Cycle toolchain to improve delivery value.
Produce architecture and design artifacts for complex applications while ensuring code meets specific constraints.
Analyze large, diverse datasets to create visualizations and reports for continuous system improvement.
Identify hidden patterns in data to drive improvements in coding hygiene and system architecture.
What we're looking for
Formal training or certification on software engineering concepts and 3+ years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools to create, troubleshoot, and refine outputs for security and performance.
Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
Overall knowledge of the Software Development Life Cycle.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Familiarity with modern front-end technologies (preferred); exposure to cloud technologies (preferred).
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
Python
AWS
Terraform
Databricks
Agentic AI
Machine Learning
SDLC
Data Lake
Data Warehouse
Lakehouse
Distributed Computing
Data Governance
Schema Governance