Lead Java Backend Engineer — AWS Cloud & AI‑Driven Dev

Aumni; Plano (TX); Presencial; USD 140 000 - 190 000; Tempo integral

Resumo da oferta

JPMorganChase, a global leader in financial services, is seeking a Lead Software Engineer to drive secure, scalable software in the Asset & Wealth Management tech organization. You will guide cross-functional teams, shape product design, and advance AI-enabled engineering practices across the SDLC.

Expected to lead large initiatives, mentor engineers, and collaborate with business stakeholders to deliver trusted technology products in a regulated environment.

Qualificações

• Formal training or certification on software engineering concepts and 5+ years 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: ECS/EKS, Lambda, Aurora, DynamoDB, S3, Glue, CloudWatch — able to design, deploy, and operate cloud-native systems end-to-end.
• Hands-on Apache Kafka experience: topic design, consumer group management, exactly-once delivery, and stream processing patterns.
• Solid grasp of distributed systems fundamentals: consistency models, CAP trade-offs, idempotency, distributed transactions, and failure modes.
• Strong CI/CD and test engineering practice: you build the pipelines and write tests alongside the team.
• Excellent communicator — able to move fluidly between engineering teams and business/operations stakeholders in the same conversation.
• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authored tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
• Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies

Responsabilidades

• Regularly provides technical guidance and direction to support the business and its technical teams
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the Software Development Life Cycle

Conhecimentos

Java (Spring Boot)

Python

SQL

NoSQL

AWS

Kafka

Distributed systems

CI/CD

Communication

AI governance

Responsible AI risk

Formação académica

Software engineering certification

Ferramentas

Kafka

Descrição da oferta de emprego

JPMorganChase, a global leader in financial services, is seeking a Lead Software Engineer to drive secure, scalable software in the Asset & Wealth Management tech organization. You will guide cross-functional teams, shape product design, and advance AI-enabled engineering practices across the SDLC.

Expected to lead large initiatives, mentor engineers, and collaborate with business stakeholders to deliver trusted technology products in a regulated environment.