Lead Software Engineer - Java

As a Lead Software Engineer at JPMorganChase within Corporate Technology, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems

• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture

• Contribute to software engineering communities of practice and events that explore new and emerging technologies

• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards

• Apply 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

• Add to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience

• Hands-on practical experience in system design, application development, testing, and operational stability

• Proficient in coding in: Java, Python, or C++

• Full stack development experience with Spring, Hibernate, Spark, AWS cloud technologies, and Databricks

• Familiarity with API and microservices frameworks, container technologies, and workflows

• Familiarity with modern front-end technologies, especially ReactJS

• Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Ability to learn other coding languages and technologies as needed, with enthusiasm for continuous growth in both technical aptitude and business understanding

• Excellent analytical, quantitative, problem-solving, and organizational skills

• Solid understanding of agile methodologies, all phases of the Software Development Life Cycle, and risk controls tools such as CI/CD, application resiliency, and security

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs

• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred, capabilities, and skills

• Proficient in coding in: Python, or C++