Lead Software Engineer, Backend Java

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
72 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $198k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $185,000–$211,200.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Backend Java

Lead Software Engineer - Backend Java, Markets Tech joins an agile team to develop and deliver high-quality technology products for the Equities Broker Dealer and Prime Finance platform. This role involves building critical solutions for securities lending, trade lifecycle, and clearing and settlement capabilities while integrating AI/ML and GenAI features like LLMs, RAG pipelines, embeddings, and vector databases into production environments. The engineer will design scalable microservices architectures, manage MLOps for model monitoring, and drive the adoption of AI-assisted engineering practices to improve code quality and delivery speed. Required skills include advanced proficiency in Java, Spring Boot, REST APIs, and distributed systems, alongside experience with Oracle, DB2, or MongoDB databases. The role focuses on building high-volume, low-latency financial systems while ensuring operational stability through CI/CD pipelines and automated testing within a complex enterprise environment.

What you'll do

  • Develop high-quality production code for distributed systems using Java, Spring Boot, and microservices architectures.
  • Integrate AI/ML and GenAI capabilities, including LLMs and RAG pipelines, into enterprise-scale production platforms.
  • Design and implement scalable technical solutions for securities lending, trade lifecycle, and clearing and settlement functions.
  • Lead architectural design decisions to ensure system scalability, performance, and alignment with enterprise technology strategies.
  • Automate the remediation of recurring issues to improve operational stability and application performance.
  • Drive team adoption of AI-assisted engineering practices to improve code quality and delivery speed.
  • Modernize platforms by adopting cloud-native, event-driven architectures and automated CI/CD pipelines.
  • Translate business and product requirements into robust technical solutions across the full software development life cycle.

What we're looking for

  • Formal training or certification on software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • Advanced proficiency in Java, Spring Boot, and REST APIs within microservices and distributed systems.
  • Experience with relational databases (Oracle/DB2), NoSQL (MongoDB), CI/CD pipelines, and DevOps automation.
  • Hands-on experience integrating AI/ML and GenAI into enterprise applications, including LLMs, RAG, and MLOps.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and ensuring secure, compliant adoption.
  • Experience building high-volume, low-latency, mission-critical financial systems.
  • Proficiency in all aspects of the Software Development Life Cycle (SDLC).

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