AI-Driven Full-Stack Tech Lead — Supply Chain

JPMorgan Chase & Co.; Buenos Aires; Presencial; ARS 182.788.000 - 274.181.000; Jornada completa

Descripción de la vacante

JPMorganChase in Argentina seeks a Lead Software Engineer to guide an agile team in designing and delivering trusted technology products. You will build secure, scalable solutions across multiple domains, aligning with business objectives and ensuring production readiness.

The role emphasizes architecture, data-driven insights, and collaboration with diverse teams to advance engineering practices and operational reliability.

Formación

• 5+ years of software engineering experience in a corporate setting.
• Demonstrated AI fundamentals and practical IDE knowledge.
• Experience in system design, development, testing, and operations.
• Strong cloud architecture, data models, APIs, and event-driven solutions.
• Proficient in modern programming languages and database querying.

Responsabilidades

• Executes software solutions, design, development, and troubleshooting for complex problems.
• Produces secure, high-quality production code and maintains algorithms.
• Creates architecture and design artifacts for complex applications and ensures design constraints are met.
• Gathers and analyzes large datasets to support continuous improvement of software applications.
• Identifies patterns in data to drive improvements in coding hygiene and system architecture.
• Contributes to engineering communities of practice and explores new technologies.
• Supports team culture of inclusion and collaboration.

Conocimientos

AI fundamentals

Cloud architecture

CI/CD

Security

English fluency

APIs

Data modeling

Programming languages

Herramientas

Python

Java

SQL

Docker

Kubernetes

Descripción del empleo

JPMorganChase in Argentina seeks a Lead Software Engineer to guide an agile team in designing and delivering trusted technology products. You will build secure, scalable solutions across multiple domains, aligning with business objectives and ensuring production readiness.

The role emphasizes architecture, data-driven insights, and collaboration with diverse teams to advance engineering practices and operational reliability.