Lead Software Engineer: AI-Driven, Secure Platform Leader

JPMorganChase

New York (NY)

On-site

USD 180,000 - 240,000

Full time

6 days ago
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Job summary

JPMorganChase is seeking a Lead Software Engineer to join the Community and Consumer Banking team in New York. You will drive high‑performance, secure software across the lifecycle, mentor engineers, and lead feature design with a strong emphasis on reliability, security, and scalable architecture.

You will collaborate with multiple stakeholders, practice TDD, and contribute to AI-enabled workflows while ensuring alignment with business goals and compliance requirements.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.

Responsibilities

  • Applies depth of knowledge to all parts of the software development lifecycle.
  • Collaborates with stakeholders daily to align goals.
  • Develops using Test Driven Development and works in CI environments.
  • Delivers secure high-quality production code and reviews peers' work.
  • Identifies opportunities to automate remediation for stability.
  • Mentors engineers and guides feature design and program direction.
  • Prototype and deliver AI-enabled workflows and translate needs into designs.
  • Coach teams on reliability, performance, risk, cybersecurity, and compliance.

Skills

Java development
JUnit testing
Multi-threaded programming
CI/CD tooling
Security best practices
AI-assisted development tools

Education

Software engineering training

Tools

Java Spring Boot
Hibernate
Kafka
Cassandra
Kubernetes
Jenkins
Bitbucket
JIRA
Confluence
Dynatrace
Splunk
Grafana
SonarQube
Fortify
Black Duck
PowerMock

Job description

JPMorganChase is seeking a Lead Software Engineer to join the Community and Consumer Banking team in New York. You will drive high‑performance, secure software across the lifecycle, mentor engineers, and lead feature design with a strong emphasis on reliability, security, and scalable architecture.

You will collaborate with multiple stakeholders, practice TDD, and contribute to AI-enabled workflows while ensuring alignment with business goals and compliance requirements.

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