Firewall Infrastructure Engineer

JPMorgan Chase · Banking · Ciudad Autónoma de Buenos Aires, Argentina · Corporate Sector

This role is for an Infrastructure Engineer III at JPMorgan Chase, focusing on improving data and systems at scale, end-to-end monitoring, and capacity management. The engineer will utilize enterprise-authorized AI capabilities to accelerate monitoring, capacity analysis, and documentation, and apply AI-assisted approaches for identifying recurring capacity risks and improving remediation workflows. The role requires strong knowledge of infrastructure disciplines, experience with firewalls and related tools, scripting languages, APIs, and networking fundamentals. While the role uses AI tools, its core craft is infrastructure engineering, not building AI models.

What you'd actually do

Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.
Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
Resolves most nuances and determines appropriate escalation path
Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications

Skills

Required

Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Strong knowledge of one or more infrastructure disciplines such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and 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.
Strong experience in firewall, firewall policies and firewall manager operation (Fortinet, Checkpoint, Palo Alto)
Experience in Firewall orchestrator tools (such as Tufin)
Experience in log analysis tools (Splunk)
Ability to use scripting languages such as Python, or other object oriented language like Ansible, C++, Java, etc.
Experience working with APIs to integrate and automate network and security solutions.
Experience working in a Linux environment.
Expertise of networking fundamentals including: Network topology, VLANs, Routing, Switching, Global/Local Load Balancing and Firewalls.
Advanced English level

What the JD emphasized

Strong experience in firewall, firewall policies and firewall manager operation (Fortinet, Checkpoint, Palo Alto)
Expertise of networking fundamentals including: Network topology, VLANs, Routing, Switching, Global/Local Load Balancing and Firewalls.

Read full job description

As an Infrastructure Engineer III at JPMorganChase you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.

Job Responsibilities

Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Resolves most nuances and determines appropriate escalation path
Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
Accountable for making significant decisions for a project consisting of multiple technologies and applications
Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Strong knowledge of one or more infrastructure disciplines such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and 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.
Strong experience in firewall, firewall policies and firewall manager operation (Fortinet, Checkpoint, Palo Alto)
Experience in Firewall orchestrator tools (such as Tufin)
Experience in log analysis tools (Splunk)
Ability to use scripting languages such as Python, or other object oriented language like Ansible, C++, Java, etc.
Experience working with APIs to integrate and automate network and security solutions.
Experience working in a Linux environment.
Expertise of networking fundamentals including: Network topology, VLANs, Routing, Switching, Global/Local Load Balancing and Firewalls.
Advanced English level

Please submit your resume in English

Job Responsibilities

Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Resolves most nuances and determines appropriate escalation path
Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
Accountable for making significant decisions for a project consisting of multiple technologies and applications
Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Strong knowledge of one or more infrastructure disciplines such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and 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.
Strong experience in firewall, firewall policies and firewall manager operation (Fortinet, Checkpoint, Palo Alto)
Experience in Firewall orchestrator tools (such as Tufin)
Experience in log analysis tools (Splunk)
Ability to use scripting languages such as Python, or other object oriented language like Ansible, C++, Java, etc.
Experience working with APIs to integrate and automate network and security solutions.
Experience working in a Linux environment.
Expertise of networking fundamentals including: Network topology, VLANs, Routing, Switching, Global/Local Load Balancing and Firewalls.
Advanced English level

Please submit your resume in English