Lead Software Engineer - AI/Supply Chain Full Stack

JPMorgan Chase & Co.

Buenos Aires

Presencial

ARS 182.788.000 - 274.181.000

Jornada completa

Hace 9 días
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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

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorganChase within the Supply Chain Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • AI fundamentals with demonstrated understanding of core AI concepts & Applied knowledge of an integrated development environment
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Deep understanding of cloud architecture, virtualization, APIs, data models, event driven solutions and modern software language frameworks
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Fluent in English
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
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