Networking Automation Engineer

Xoriant Corporation
San Jose, CA, United States
26 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Compensation
$187,200.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Business Analytics Applications Cloud Computing Python (Programming Language) Network Troubleshooting Network Model Network Monitoring Cisco Nexus Switches Ansible Generative AI Firewalls (Computer Science) Terraform
+3 more
Cisco Switches Cisco Data Generation

Requirements

Must skills- Need solid engineer with Python and some basic data center networking skills along with knowledge of using GenAI tools for automation

Program - Deep Network Model Human Evaluation Program

Networking and Compliance Subject Matter Experts (SMEs) for Human Expert Assisted Data Acquisition Program

Required Skills

Expert-level knowledge of enterprise networking: Deep understanding of routing and switching products, with a focus on large-scale campus, enterprise and datacenter networks.

Extensive troubleshooting experience: Demonstrated experience diagnosing and resolving complex networking, security and compliance issues, including root cause analysis, and multi-domain and multi-vendor environments.

Proficiency with CLI diagnostics: Expert knowledge of Cisco CLI, including the use of show commands and other diagnostics for problem investigation.

Experience with network monitoring and analytics platforms: Hands-on experience with tools such as Cisco Catalyst, SDWAN, Nexus, Intersight, Firewall, Cloud Control etc, for monitoring, troubleshooting, configuration, compliance and performance analysis.

Experience documenting technical solutions: Strong ability to create detailed methods of action, recommendations, and impact statements for network problems and proposed solutions.

Familiarity with automation and scripting: Working knowledge of Python and automation frameworks (e.g., Ansible, Terraform) for interacting with APIs and automating network tasks.

Experience with software defect analysis: Familiarity with identifying software-related network issues and evaluating the impact of software bugs and vulnerabilities.

Experience with training/evaluation data creation: Ability to design, curate, and annotate realistic problem scenarios and training examples for use in ML and GenAI model and agent development.

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