Lead Software Engineer - SQL/Python/Databricks

JPMorgan Chase

Jersey City (NJ)

On-site

USD 130,000 - 180,000

Full time

6 days ago
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Job summary

JPMorgan Chase is seeking a Lead Software Engineer within the Credit Risk Technology organization. You will be a core technical contributor, building and delivering trusted technology products in a secure, scalable manner.

The role involves leading design assessments, modernizing the risk tech stack, and delivering high-quality production code in a large corporate environment. Collaboration across teams and vendors is essential.

Qualifications

  • 3+ years of applied software engineering experience.
  • Hands-on system design, development, testing, and operational stability.
  • Advanced proficiency in Java or Python.
  • Strong SQL knowledge (Oracle/Sybase/SQL Server).
  • Experience with Databricks and modern data platforms.
  • Understanding of the Software Development Life Cycle.

Responsibilities

  • Executes creative software solutions, design, development, and troubleshooting to solve complex problems.
  • Leads modernization and upgrade of the Credit Risk tech stack following industry best practices.
  • Develops secure, high-quality production code and reviews code from others.
  • Identifies opportunities to automate remediation and improve operational stability.
  • Leads evaluation sessions with vendors and internal teams on architectures.
  • Leads communities of practice to drive awareness and use of new technologies.
  • Contributes to a team culture of diversity, equity, inclusion, and respect.

Skills

Java
Python
SQL
Databricks
SDLC
System Design
Code Review

Education

Software engineering certification

Tools

Tableau
Business Objects
ThoughtSpot
Kafka
Scala
Apache Spark

Job description

As a Lead Software Engineer within the JP Morgan Credit Risk Technology organization, 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 break down technical problems
  • Participate in and leads the modernization and upgrade of the Credit Risk technology stack in accordance with the industry best practices
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • 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 and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, equity, inclusion, and respect
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
  • Advanced proficiency in 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
Preferred qualifications, capabilities, and skills
  • Business Intelligence Tools (Tableau/Business Objects/ThoughtSpot)
  • Kafka Messaging
  • Scala, Apache Spark
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