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Networking Engineer III

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 5 days ago

No clicks

**Networking Engineer III** at JPMorgan Chase in Buenos Aires drives infrastructure projects. You'll tackle moderate scope tasks, leverage AI for capacity analysis, ensure application resiliency, and collaborate across teams. Key responsibilities include troubleshooting, capacity management, and remediating issues. Required skills span hardware, networking, automation, scripting (Python, Ansible), Linux, and cloud technologies. Plus, you'll need 3+ years of experience, scripting proficiency, and expertise in low-latency networks, multicast, and market data tech.

Compensation
Not specified

Currency: Not specified

City
Ciudad Autónoma de Buenos Aires
Country
Argentina

Full Job Description

Location: Ciudad Autnoma de Buenos Aires, Argentina

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. 

As an Networking Engineer III at JPMorganChase within the Network Rapid Response team, 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
  • Ability to use (or learn) scripting languages such as Python, or other object oriented language like Ansible, C++, Java, etc.
  • Experience working in a Linux environment.
  • Expertise of networking fundamentals including: Network topology, VLANs, Routing, Switching, Global/Local Load Balancing and Firewalls.
  • Expert in Multicast, low latency networks, and market data related technologies.
  • Strong experience in Protocol Analyzers (Endace, Apcon, Wireshark, OpNet)
  • Strong experience in capacity management tools (Grafana, SevOne)
  • 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 knowledge of one or more scripting languages
  • Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds) 

     

     

 

The Network Engineer must have a strong knowledge of Routing and switching, Load Balancing and Firewalls. Experience in protocol Analyzers (Endace, Apcon, Wireshark, OpNet) and Management tools (Grafana, SevOne). Also must have knowledge of, or be willing to learn, scripting languages (e.g. Python) required for the development of automations.

Networking Engineer III

Compensation

Not specified

City: Ciudad Autónoma de Buenos Aires

Country: Argentina

J.P. Morgan logo
Bulge Bracket Investment Banks

5 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Networking Engineer III** at JPMorgan Chase in Buenos Aires drives infrastructure projects. You'll tackle moderate scope tasks, leverage AI for capacity analysis, ensure application resiliency, and collaborate across teams. Key responsibilities include troubleshooting, capacity management, and remediating issues. Required skills span hardware, networking, automation, scripting (Python, Ansible), Linux, and cloud technologies. Plus, you'll need 3+ years of experience, scripting proficiency, and expertise in low-latency networks, multicast, and market data tech.

Full Job Description

Location: Ciudad Autnoma de Buenos Aires, Argentina

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. 

As an Networking Engineer III at JPMorganChase within the Network Rapid Response team, 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
  • Ability to use (or learn) scripting languages such as Python, or other object oriented language like Ansible, C++, Java, etc.
  • Experience working in a Linux environment.
  • Expertise of networking fundamentals including: Network topology, VLANs, Routing, Switching, Global/Local Load Balancing and Firewalls.
  • Expert in Multicast, low latency networks, and market data related technologies.
  • Strong experience in Protocol Analyzers (Endace, Apcon, Wireshark, OpNet)
  • Strong experience in capacity management tools (Grafana, SevOne)
  • 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 knowledge of one or more scripting languages
  • Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds) 

     

     

 

The Network Engineer must have a strong knowledge of Routing and switching, Load Balancing and Firewalls. Experience in protocol Analyzers (Endace, Apcon, Wireshark, OpNet) and Management tools (Grafana, SevOne). Also must have knowledge of, or be willing to learn, scripting languages (e.g. Python) required for the development of automations.