Lead Software Engineer Backend Java, Markets Tech

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

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 firms 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.

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
• Build and integrate AI/ML and GenAI into production platformsLLMs 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

Required qualifications capabilities and skills

• 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

Preferred qualifications skills and capabilities

• 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)