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Senior Lead Software Engineer - Java, Prime Financial Services Technology
senior · Technology / Software Development
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 firm’s 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 and leads communities of practice and promotes the adoption of modern engineering standards, tools, and emerging technologies
- Ensures robust delivery across environments with strong focus on SDLC, testing (unit, SIT, UAT), and production stability
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
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
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
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)