Drimva

JPMorgan Chase

Sr Lead Software Engineer- Java Back End, AWS

Plano, TX · Senior · Full-time · Posted Sep 21, 2026

Experience
5+ years of applied experience; experience developing or leading large or cross-functional teams of technologists; experience leading multi-organization adoption of agentic AI-enabled engineering operating models.
Education
Formal training or certification on software engineering concepts.

About the job

Leads engineering for secure, scalable technology products in Asset & Wealth Management, while guiding teams and advancing governed AI-assisted engineering practices.

What you'll do

  • Provide technical guidance, develop and review production code, and influence product and technical decisions.
  • Lead adoption and governance of approved AI-assisted engineering practices, including validation standards and measurable outcomes.
  • Promote firmwide engineering frameworks, tools, automation, and SDLC practices.

What they ask for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Experience developing or leading large or cross-functional teams of technologists.
  • Expert-level backend engineering in Java (Spring Boot, Spring Integration, Hibernate/JPA) and/or Python; strong SQL and data modeling across relational and NoSQL systems.
  • Deep AWS experience; hands-on Apache Kafka; distributed systems knowledge; strong CI/CD and test engineering practice; experience leading multi-organization adoption of agentic AI-enabled engineering models.

Nice to have

  • Experience delivering in a regulated environment, preferably financial services, with working knowledge of audit, entitlement, and compliance requirements.

Tools

Java, Spring Boot, Spring Integration, Hibernate/JPA, Python, AWS, Apache Kafka, SQL

AI focus

Leads adoption and governance of AI-assisted engineering and agentic AI-enabled operating models, including human-in-the-loop decisioning, quality gates, measurement, secure handling of sensitive inputs and outputs, and responsible AI risk controls.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)