Senior Lead Software EngineerAs 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 ResponsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with the ability to solve complex problems and deliver scalable solutions across distributed systems and microservices architecturesDevelops secure, high-quality production code, and reviews and debugs code written by others to ensure engineering excellenceIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability, resiliency, and performance of applicationsDrives architecture and design decisions influencing system scalability, performance, and long-term platform evolutionLeads evaluation sessions with internal teams and stakeholders to assess architectural designs and ensure alignment with enterprise technology strategiesContributes to platform modernization through adoption of cloud-native, event-driven, and microservices-based architecturesProvides technical leadership and mentorship to engineers, fostering a collaborative, inclusive, and high-performing engineering culturePartners 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 technologiesEnsures robust delivery across environments with strong focus on SDLC, testing (unit, SIT, UAT), and production stabilityDrives 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.QualificationsFormal training or certification on software engineering concepts and 5+ years of applied experienceHands-on practical experience delivering system design, application development, testing, and operational stability in large-scale enterprise environmentsAdvanced proficiency in one or more programming languages, with strong expertise in:Java, Spring Boot, REST APIsMicroservices and distributed systems architectureStrong experience with:Relational databases (Oracle/DB2) and/or NoSQL (MongoDB)Cloud-native development (AWS or equivalent)CI/CD pipelines, DevOps, and automation practicesProficient in all aspects of the Software Development Life Cycle (SDLC)Strong problem-solving, analytical, and stakeholder communication skillsDemonstrated proficiency in building high-volume, low-latency, mission-critical financial systemsPractical experience working across cross-functional teams in complex enterprise organizationsDemonstrated 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 securityStrong 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 SkillsExposure to Prime Finance, Securities Lending, or Broker Dealer platformsExperience with event-driven architectures (Kafka, MQ) and messaging systemsFamiliarity with modern front-end technologies (React, UI frameworks)Exposure to domain-driven design, full-stack development, and modern architectural patternsExperience with observability tools (Splunk, Grafana, Prometheus, ELK)Knowledge of DevOps, containerization (Kubernetes), and cloud platform engineeringInterest in adopting emerging technologies (AI-assisted development, automation, advanced analytics)
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