Lead Software Engineer - Sr. Full Stack Java/Python Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible. You’ll work with talented engineers, tackle meaningful technical challenges, and help deliver technology that supports customers at scale.

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

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