JPMorgan Chase & Co.

Infrastructure Engineer III - Network Engineer

JPMorgan Chase & Co. Hyderabad, Telangana, India

Financial Services · 10,001+ employees

Yesterday Closes today
network-engineer Mid (2-5 yrs) Full-time India
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About the role

The Infrastructure Engineer III will apply technical knowledge to improve data and systems at scale while driving capacity processes. They will also partner with cross-functional teams to identify capacity risks and implement AI-assisted remediation workflows.

What they look for

Infrastructure Engineering Network Engineering Python Ansible SD-WAN Fabric Switching Network Security Cloud Infrastructure Capacity Planning Data Analysis Monitoring Problem Solving BGP Wired/Wireless LAN 802.1x AI-assisted workflows

Requirements

Candidates must have 3+ years of applied experience in infrastructure engineering and proficiency in network technologies and scripting languages like Python or Ansible. Strong validation habits for AI-assisted recommendations and knowledge of cloud infrastructure are also required.

Full description

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 Infrastructure Engineer III at JPMorgan Chase within the Infrastructure Engineering team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline.

Job responsibilities

  • Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
  • Resolves most nuances and determines appropriate escalation path
  • Executes conventional approaches to build or break down technical problems
  • 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
  • Drives the daily activities supporting the standard capacity process applications
  • Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
  • Considers upstream/downstream data and systems or technical implications
  • 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.
  • Be accountable for making significant decisions for a project consisting of multiple technologies and applications

Required qualifications, capabilities, and skills

  • Formal training or certification in infrastructure engineering concepts, plus 3+ years of applied experience
  • Demonstrated experience using enterprise-authorized AI capabilities to support infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity
  • Ability to review and validate AI-assisted recommendations before implementation; escalate when uncertain; ensure outcomes meet resiliency, security, and auditability expectations
  • Operating knowledge in one or more infrastructure engineering areas (e.g., software-defined networks/zero-touch provisioning, SD-WAN, fabric switching, Wi‑Fi, network security technologies and practices)
  • Proficiency in network infrastructure technologies and relevant programming/scripting languages (e.g., Python, Ansible)
  • Broad technical knowledge across multiple domains
  • Knowledge of cloud infrastructure and multiple cloud technologies, with the ability to operate in and migrate across public and private clouds
  • Commitment to developing add

Preferred qualifications, capabilities, and skills

  • Experience with wired/wireless LAN/BGP WAN/SD-WAN and 802.1x technologies from vendors including Cisco, Arista, Juniper, Fortinet, and Forescout
  • Exhibits a growing initiative and the ability to manage assigned tasks efficiently, seeking guidance when needed and showing a willingness to find solutions and contribute to improvements with some supervision
  • Demonstrates strong communication skills, conveying ideas and challenges with clarity and precision to support understanding and effective collaboration

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