Sr Lead Software Engineer - Java, Kafka, AI, Securities Experience,

Company: JPMorganChase

Location: Chicago, IL 60603

Salary: $147,250 - $225,000 a year

Type: Full-time

Posted: 2026-05-05

About this role

JOB DESCRIPTION

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank technology team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

We are seeking an experienced Vice President to lead our technology team focused on US Listed Options. This is a hands-on technologist role that combines advanced technical expertise with strategic leadership. The ideal candidate will possess deep experience in software engineering, securities processing, financial services, and AI-based development, and will be actively involved in designing, developing, and delivering technology solutions while also providing vision and direction for the team. The role demands strong leadership, technical excellence, and the ability to partner effectively across technology, operations, business, and external vendors.

Job responsibilities

  • Provide vision and direction for engineering teams responsible for US Listed Options platforms, driving transformation and technical excellence.
  • Actively participate in the design, development, and deployment of mission-critical applications and systems. Lead by example in coding, architecture, and solution delivery, ensuring best practices and high standards are maintained.
  • Lead the migration and modernization of legacy systems, championing adoption of cloud-native architectures, event-driven technologies (Java, Spring, AWS, Kafka, Python, SQL/NoSQL, Apache Spark, containerization), and AI-based solutions.
  • Drive the adopt...

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