Lead Software Engineer - Home Lending Technology

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 120,000 - 165,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an experienced software professional to design, develop, and troubleshoot scalable solutions while producing architecture artifacts for complex applications.

You will work with large data sets to improve software systems, identify data patterns, and drive improvements to coding hygiene and system architecture, contributing to a diverse and inclusive team culture.

Qualifications

• 7+ years hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages - Java / Spring Boot or Python 3
• Proficient in Pyspark
• Proficient in AWS Technologies
• 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
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Responsibilities

• 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
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Java / Spring Boot

Python 3

PySpark

CI/CD

Application Resiliency

Security

SDLC

Agile methodologies

Tools

AWS Technologies

Snowflake / Databricks

SQL / Database querying

Job description

Job responsibilities

• 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
  
• Adds to team culture of diversity, opportunity, inclusion, and respect
  

Required qualifications, capabilities, and skills

• 7+ years hands-on practical experience in system design, application development, testing, and operational stability
  
• Proficient in coding in one or more languages - Java / Spring Boot or Python 3
• Proficient in Pyspark
• Proficient in AWS Technologies
  
• 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
  
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies - AWS EC2, EKS, RDS, S3, Lambdas, Snowflake/Databricks