Lead Networking Engineer

JP Morgan Chase Bank; Buenos Aires; On-site; ARS 139,364,000 - 201,304,000; Full time

Job summary

JP Morgan Chase is seeking a Lead Infrastructure Engineer to join a high-performing team delivering infrastructure and performance excellence. You will shape future directions at one of the world's largest financial institutions and apply deep expertise across hardware, networking, databases, and cloud platforms.

You will lead projects, leverage AI-assisted workflows, ensure security and auditability, and drive changes across multiple platforms.

Qualifications

• Formal training or certification in infrastructure engineering.
• 5+ years of applied infrastructure experience.
• Experience using AI capabilities in infrastructure workflows with validation.
• Ability to review AI recommendations for resiliency and security.

Responsibilities

• Applies technical expertise to projects of moderate scope; delivers design, development, and troubleshooting solutions.
• Uses enterprise AI capabilities to accelerate infrastructure analysis and documentation with strong data security.
• Drives a workstream across infrastructure technologies to architect and implement changes.
• Considers upstream/downstream data implications and advises on mitigations.
• Applies AI-assisted practices to identify recurring issues and ensure traceability and security.

Skills

Infrastructure engineering

AI in infrastructure

Cloud infrastructure

Scripting languages

Data sensitivity awareness

AI recommendation validation

Education

Infrastructure engineering certification

Tools

Cloud platforms

Job description

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.

As a Lead Infrastructure Engineer at JPMorganChase, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Job responsibilities

• Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity
• Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
• Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
• Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions
• Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
  Deep knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or performance assessments
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
• Deep knowledge of one specific infrastructure technology and scripting languages
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds