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Location
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Staff · 5+ years exp
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JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Community and Consumer Banking, youare 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Applies depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders daily to stay focused on common goals
  • Work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.
  • Develops using Test Driven Development and is familiar with working in a Continual Integration environment on a shared code base.
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Applies technical experience will allow you to take the lead on feature design and development, as well as allowing you to identify new features and help form the strategy and direction of the program.
  • Provides technical leadership and mentoring while being open and inclusive, encouraging the whole team to participate in design and development
  • Prototype and deliver AI-enabled/agentic workflows (e.g., tool-using agents, orchestration patterns, evaluation and guardrails) and translate stakeholder needs into technical designs
  • Mentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirements

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Advanced knowledge of application, data and infrastructure architecture disciplines
  • Extensive core Java (version 8 or higher) development experience with Spring or similar framework
  • Test Driven Development using Junit
  • Expert understanding of data structures, algorithms & multi-threaded programming
  • Experience working on multi-threaded, high throughput mission critical high-performance platforms
  • Experience in designing and building reusable services
  • Experience with data security and encryption in an enterprise setting
  • Experience with Java Spring Boot, Hibernate, Kafka, Cassandra, , Kubernetes, PowerMock, JMeter, Splunk, Grafana, Dynatrace, Jenkins, Sonar, Fortify, Black Duck, Bitbucket, JIRA, Confluence
  • 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

  • Experience with cloud native applications development (e.g. AWS, GCP, private cloud, etc.)

  • Ability to influence architecture and design across distributed systems

  • Knowledge of industry-wide technology trends and best practices

  • Ability to work in large, collaborative teams to achieve organizational goals

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