Senior Lead Software Engineer, Data & AI Platform

JPMorganChase; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive total rewards package

Comprehensive health care coverage

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase is seeking a Senior Lead Software Engineer to join the Commercial & Investment Bank Markets Data Strategies Engineering team in Jersey City, New Jersey. This position is key in driving the architecture, design, and development of the Markets Data Lake platform while applying deep technical expertise to enhance and secure technology products.

The ideal candidate should have extensive experience in software development, particularly with Python, and familiarity with big data technologies and cloud platforms such as AWS. The role involves significant collaboration across various teams to drive innovation and implement data-driven AI capabilities.

Qualifications

• 5+ years of applied experience in software engineering.
• Experience with Sell-Side analytics platforms required.
• Advanced Python development skills.

Responsibilities

• Design and deliver applications supporting the Markets Data Lake Platform.
• Provide technical guidance to teams and vendors.
• Develop secure production code and review others' work.

Skills

Software engineering concepts

Python development

Sell-Side analytics platforms

Microservices

Kafka streaming

AWS Cloud Platform

Database technologies (relational and NoSQL)

Systems engineering

Problem-solving and debugging

Agile methodologies

Education

Formal training or certification in software engineering

5+ years of applied experience

Tools

AWS Lake Formation

Big data technologies

Job description

JPMorgan Chase is seeking a Senior Lead Software Engineer to join the Commercial & Investment Bank Markets Data Strategies Engineering team in Jersey City, New Jersey. This position is key in driving the architecture, design, and development of the Markets Data Lake platform while applying deep technical expertise to enhance and secure technology products.

The ideal candidate should have extensive experience in software development, particularly with Python, and familiarity with big data technologies and cloud platforms such as AWS. The role involves significant collaboration across various teams to drive innovation and implement data-driven AI capabilities.