Senior Lead Java Engineer for Scalable FinTech Systems

Aumni

Jersey City (NJ)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

J.P. Morgan in Jersey City seeks a Senior Lead Software Engineer to drive design, development, and delivery of scalable financial tech products. You will lead technical decisions, mentor teams, and ensure robust, secure code with automated testing.

Expect collaboration across business functions and a focus on performance, stability, and the adoption of AI-assisted engineering practices. The role demands strong Java expertise, Spring Boot, React, and cloud experience, with a track record of

Qualifications

  • Formal degree or certification in software engineering concepts.
  • Hands-on system design, development, testing and stability.
  • Strong Java expertise with collections, GC, and multi-threading.
  • Experience in Java/J2EE, Spring Boot, Kafka, React JS, CI/CD and AWS.

Responsibilities

  • Execute creative software solutions and troubleshoot complex problems.
  • Design and develop software with consideration for upstream/downstream systems.
  • Create automated unit tests using Test Driven Development.
  • Understand Cash Prime functions and impact on the tech stack.
  • Partner with tech leads to produce realistic project estimates.
  • Drive delivery of value through changes and governance.
  • Lead code reviews and establish architectural standards.
  • Promote AI-assisted development for quality and speed.

Skills

Java
Spring Boot
Kafka
React JS
CI/CD
AWS cloud
Kubernetes
AI-assisted tooling
Problem solving
Communication

Education

Formal degree or certification in software engineering concepts

Tools

Kafka
React JS
Spring Boot
CI/CD
AWS
Kubernetes

Job description

J.P. Morgan in Jersey City seeks a Senior Lead Software Engineer to drive design, development, and delivery of scalable financial tech products. You will lead technical decisions, mentor teams, and ensure robust, secure code with automated testing.

Expect collaboration across business functions and a focus on performance, stability, and the adoption of AI-assisted engineering practices. The role demands strong Java expertise, Spring Boot, React, and cloud experience, with a track record of

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