Networking Automation Engineer_SanJose, CA(100% onsite)_Face to Face interview Must

Role Networking Automation Engineer

Location San Jose, CA (Onsite)

Client - Confidential

Rate - $90

Interview Mode - Face to Face

Duration - 12+ Months (Possibility of extension)

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.