Lead Software Engineer - Sr. Full Stack Java Engineer

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 Consumer & Community Banking - Sales & Incentive Growth team, you are an integral part of an agile team that enhances, builds, and delivers trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you will drive critical technology solutions across multiple technical areas and business functions, helping shape design decisions, improving reliability, and raising engineering standards through strong collaboration and technical leadership.

Job responsibilities

• Execute creative software solutions through design, development, and technical troubleshooting, applying non-routine approaches to solve complex problems
• Develop secure, high-quality production code, and review, test, and debug code written by others
• Identify opportunities to automate remediation of recurring issues and improve the operational stability of applications and systems
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architecture, technical fit, and alignment with enterprise standards
• Lead and contribute to communities of practice to drive adoption of new and leading-edge technologies across Software Engineering
• Partner with product and technology stakeholders to translate business needs into technical solutions and delivery plans
• Promote a team culture grounded in diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficiency across the Software Development Life Cycle, including design, build, test, deploy, and operate
• Advanced understanding of application resiliency and security practices in modern software delivery
• Advanced proficiency in one or more programming languages such as Java, JavaScript, or Python
• Experience building services using Spring Boot
• Experience designing and delivering event-driven solutions using Kafka
• Practical cloud-native experience delivering and operating production workloads on Amazon Web Services (AWS)
• Proficiency in automation and continuous delivery practices, including CI/CD
• Demonstrated depth in at least one technical discipline such as cloud, artificial intelligence, machine learning, or mobile engineering

Preferred qualifications, capabilities, and skills

• Experience leading a small team of engineers (for example, three to six) while remaining hands-on in delivery
• Demonstrated mentoring and coaching of junior engineers through feedback, pairing, and code review
• Experience supporting development of machine learning models, including causal inference approaches
• Experience applying AI-assisted engineering techniques to accelerate delivery and improve quality
• Hands-on experience using Visual Studio Code for debugging web, cloud, and distributed applications