Java Lead Software Engineer - AWM
Lead Software Engineer (Java)Build the next generation of liquidity trading on Morgan Money—joining a hands-on Java engineering team at JPMorganChase in Asset & Wealth Management where you'll partner with trading stakeholders, ship frequently, and use enterprise-authorized AI-assisted practices to improve reliability, speed, and client outcomes.As a Lead Software Engineer (Java) at JPMorganChase within Morgan Money in Asset & Wealth Management, you will advance next-generation liquidity trading capabilities for corporate clients across regions. You will be a hands-on engineer building resilient, secure, high-performing Java services while partnering closely with investment and trading stakeholders to deliver measurable business outcomes. You will help strengthen engineering practices and reliability in a fast-paced environment with frequent production releases.Job responsibilitiesPartner with investment and trading teams to translate business objectives into durable, measurable technical outcomesDesign, build, and operate low-latency backend services in Java with a focus on scalability, resiliency, and secure-by-design engineeringOwn end-to-end delivery of features from design through production release, ensuring operational readiness and strong customer outcomesDrive architecture and engineering decisions that improve performance, reliability, and long-term maintainability across servicesEstablish and uphold disciplined engineering practices, including automated testing, code review, and continuous integration and deliveryImprove observability and incident readiness through effective logging, metrics, tracing, and production diagnostics to reduce time to detect and recoverDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationRequired qualifications, capabilities and skillsFormal training or certification on software engineering concepts and 5+ years applied experienceHands-on experience delivering production-grade backend services using Java, with strong object-oriented design and debugging skillsExperience building scalable distributed systems with a focus on low-latency performance, resiliency patterns, and failure-mode thinkingProficiency with modern Java frameworks (e.g., Spring) and dependency injection patterns to build maintainable servicesDemonstrated experience implementing strong testing practices (e.g., unit, integration, and contract testing) and using automated quality gatesExperience with messaging and streaming technologies (e.g., Kafka or enterprise messaging platforms) and event-driven design patternsStrong understanding of secure coding practices and the ability to design and implement controls that reduce operational and technology riskDemonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practicesPreferred qualifications, capabilities and skillsExperience building and operating services on cloud platforms, including reliability and cost-aware engineering practicesProficiency in performance engineering (profiling, latency analysis, concurrency tuning) for high-throughput Java servicesExperience with observability platforms and practices (metrics, tracing, alerting strategy) to improve service health and incident responseFamiliarity with liquidity, trading, or capital markets concepts and the ability to partner effectively with front-office stakeholdersProficiency in Python for automation, tooling, or data analysis to support engineering productivity and reliability outcomes