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Lead Software Engineer - Quant Developer

JPMorgan Chase
Jersey City, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered 2 weeks ago
awsjavapythonsql

Full Job Posting

Job Responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting—thinking beyond routine or conventional approaches to build solutions or break down technical problems.
  • Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
  • Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
  • Develop secure, high-quality production code; review and debug code written by others.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies (including AI-enabled software delivery approaches).
  • Add to team culture of diversity, opportunity, inclusion, and respect.
  • Promptly investigate and resolve issues, ensuring they do not resurface.
  • Continuously update technologies and patterns to keep systems current.
  • Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that enable zero-downtime releases and optimize data performance.
  • Engineer and operationalize AI-enabled capabilities (e.g., agentic workflows, tool use, orchestration, evaluation/guardrails) to improve developer productivity and/or product functionality.
  • Drives 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 team.
  • Applies 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 automation.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.
  • Strong proficiency in back-end development with Python and Java, with experience building microservices-based applications and APIs (e.g., RESTful services, JSON).
  • Strong experience building on AWS (or comparable cloud), including designing, deploying, and operating distributed, cloud-native systems.
  • Experience with distributed systems and web technologies (e.g., RESTful APIs and web services, WebSockets).
  • Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
  • Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.
  • Understanding of application resiliency and designing for reliability/availability.
  • Proficient in all aspects of the Software Development Life Cycle, including secure development practices.
  • Advanced understanding of agile engineering practices such as CI/CD, Application Resiliency, and Security.
  • Demonstrated 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 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 engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies

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