Lead Software Engineer - Backend Java, Markets Tech

JPMorgan Chase & Co.•Jersey City, NJ

1d•$152,000 - $215,000

About The Position

As a Lead Software Engineer at JPMorgan Chase, 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 delivering critical technology solutions supporting the Equities Broker Dealer and Prime Finance platform, including securities lending, trade lifecycle, and clearing & settlement capabilities, in alignment with the firm’s business objectives. You will also integrate AI/ML and GenAI capabilities into core platforms in a way that is secure, governable, and operable at enterprise scale.

Requirements

Formal training or certification on software engineering concepts and 5+ years of applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability in large-scale enterprise environments
Advanced proficiency in Java, Spring Boot and REST APIs programming language within microservices in a distributed systems architecture
Strong experience withRelational databases (Oracle/DB2) and/or NoSQL (MongoDB) and CI/CD pipelines, DevOps, and automation practices
Proficient in all aspects of the Software Development Life Cycle (SDLC)
Strong problem-solving, analytical, and stakeholder communication skills
Demonstrated proficiency in building high-volume, low-latency, mission-critical financial systems
Hands-on experience integrating AI/ML and GenAI into enterprise applications, including LLMs, RAG pipelines, embeddings, vector stores/databases, model evaluation, and production monitoring (MLOps).
Demonstrated experience leading effective use of approved AI-assisted software development tools (coding, code review, test acceleration, troubleshooting), with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Practical experience working across cross-functional teams in complex enterprise organizations

Nice To Haves

Cloud-native development (AWS or equivalent)
Exposure to Prime Finance, Securities Lending, or Broker Dealer platforms
Experience with event-driven architectures (Kafka, MQ) and messaging systems
Familiarity with modern front-end technologies (React, UI frameworks)
Exposure to domain-driven design, full-stack development, and modern architectural patterns
Experience with observability tools (Splunk, Grafana, Prometheus, ELK)
Interest in adopting emerging technologies (AI-assisted development, automation, advanced analytics)

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with the ability to solve complex problems and deliver scalable solutions across distributed systems and microservices architectures
Develops secure, high-quality production code, and reviews and debugs code written by others to ensure engineering excellence
Build and integrate AI/ML and GenAI into production platforms—LLMs, RAG, embeddings, vector databases, and MLOps for lifecycle management, monitoring, and governance.
Drive adoption of enterprise-authorized AI-assisted engineering practices (code review/refactoring, test acceleration, incident/root-cause analysis) with consistent validation standards (secure coding, peer review, automated testing) and reuse of effective patterns.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability, resiliency, and performance of applications
Drives architecture and design decisions influencing system scalability, performance, and long-term platform evolution
Leads evaluation sessions with internal teams and stakeholders to assess architectural designs and ensure alignment with enterprise technology strategies
Contributes to platform modernization through adoption of cloud-native, event-driven, and microservices-based architectures
Provides technical leadership and mentorship to engineers, fostering a collaborative, inclusive, and high-performing engineering culture
Partners with business, product, and operations teams to translate Prime Finance and Broker Dealer requirements into scalable technical solutions
Ensures robust delivery across environments with strong focus on SDLC, testing (unit, SIT, UAT), and production stability