
at J.P. Morgan
Bulge Bracket Investment BanksPosted 3 days ago
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**Senior Lead Software Engineer - Java:** Drive critical technology solutions for Equities Broker Dealer & Prime Finance platforms. Key responsibilities include designing, developing, and troubleshooting scalable Java/Spring Boot solutions, leading tech design decisions, and mentoring engineers. Required: 5+ years in enterprise software engineering, proficiency in Java, Spring Boot, and microservices, experience with cloud-native development and CI/CD. Preferred: familiarity with Prime Finance platforms, event-driven architectures, and modern front-end tech.
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: Jersey City, NJ, United States
As a Senior 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 firms business objectives.
Job 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
- 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
- Leads communities of practice and promotes the adoption of modern engineering standards, tools, and emerging technologies
Qualifications
- 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 one or more programming languages, with strong expertise in:
- Java, Spring Boot, REST APIs
- Microservices and distributed systems architecture
- Strong experience with:
- Relational databases (Oracle/DB2) and/or NoSQL (MongoDB)
- Cloud-native development (AWS or equivalent)
- 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
- Practical experience working across cross-functional teams in complex enterprise organizations
Preferred Skills
- 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)
Knowledge of DevOps, containerization (Kubernetes), and cloud platform engineering
- Interest in adopting emerging technologies (AI-assisted development, automation, advanced analytics)



