Lead Software Engineer - Java/Python, AWS, Data

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 JPMorgan Chase within the Consumer & Community Banking, 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:

• 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
• 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.
• 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
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect 

 

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 10+ years of hands-on experience in the software industry, specializing in Java, Python, AWS (including EKS, S3, Lambda, EMR), and Terraform.
• 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
• Extensive experience with databases such as Cassandra and graph databases.
• Strong exposure to security and infrastructure within cloud environments.
• Practical cloud-native development experience, with a focus on designing and delivering robust solutions.
• Demonstrated expertise in software design principles and complete end-to-end, hands-on delivery.
• Experience with MLOps and streaming systems such as Kafka and Flink is optional but considered a plus.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.

 Preferred qualifications, capabilities, and skills: 

• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced proficiency in one or more programming languages.
• In-depth knowledge of the financial services industry and their IT systems.