Network Engineer

Machine Learning Technologies, LLC; Santa Clara (CA); On-site; USD 69,000 - 99,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a Sr Network Engineer to design, implement, and operate enterprise network spanning datacenters, offices, studios, and AWS cloud. You will help evolve an AI-driven Juniper/Mist campus fabric, secure the edge with Palo Alto networks, and enable cloud connectivity with AWS across on-prem and cloud environments.

Responsibilities include automating configurations with Python and IaC tools, advancing observability, and mentoring across teams while supporting

Qualifications

• 6+ years of enterprise network engineering across routing, switching, and wireless.
• Hands-on with Juniper and/or Cisco platforms; readiness for AI-driven ops.
• Strong knowledge of BGP/OSP F, SD-WAN, and traffic engineering.
• Experience with Palo Alto firewalls, VPNs, and related security infra.
• AWS networking experience and cloud monitoring.

Responsibilities

• Design, implement, and operate Juniper/Mist campus and branch infrastructure.
• Engineer and maintain Palo Alto Networks security stack.
• Build and support AWS cloud networking—VPCs, Transit Gateway, Direct Connect/VPN, Route 53; hybrid on‑premises to cloud.
• Automate network configuration, validation, and deployment using Python, APIs, Terraform, Ansible.
• Modernize network observability with streaming telemetry, flow analysis, and cloud-native monitoring.
• Maintain awareness of emerging architecture trends; provide design mentorship and cross-team communication.
• Provide 24x7 network support for global network across regions; on-call.
• Hands and feet support for DC and campus sites.

Skills

6+ years enterprise networking

BGP/OSPF

Analytical problem-solving

Tools

Juniper Mist

Palo Alto Networks

AWS Networking

Terraform

Ansible

Direct Connect/VPN

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Network Engineer
Location: Santa Clara CA
Duration: 12Months + Extension
Bill Rate: $61/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H4-EAD, Other

Job Summary:

Sr Network Engineer works on enterprise network spanning datacenters, corporate offices, studio environments, and AWS cloud. Our network is evolving: an AI-driven Juniper/Mist campus fabric, a Palo Alto Networks security edge, and cloud-native connectivity into AWS form the backbone of our next-generation architecture. You will collaborate with engineering teams across the company during design, development, and implementation while researching, evaluating, and implementing emerging technologies, AI-assisted operations, and automation tooling.
Design, implement, and operate our Juniper/Mist campus and branch infrastructure.
Engineer and maintain the Palo Alto Networks security stack.
Build and support AWS cloud networking — VPC design, Transit Gateway, Direct Connect/VPN, Route 53 — and hybrid connectivity between on-premises datacenters and cloud, including WAN traffic engineering with BGP, OSPF, and SD-WAN.
Automate network configuration, validation, and deployment using Python, APIs, and infrastructure-as-code tooling (Terraform, Ansible)
Modernize network observability — streaming telemetry, flow analysis, and cloud-native monitoring.
Maintain a working understanding of emerging architecture trends (next-generation datacenter, SASE, zero-trust); conduct proof-of-concept exercises, provide design mentorship, and communicate across business, creative, and technology teams.
24* Network support for Global network across multiple regions, on‑call
Hands & feet support for DC and Campus sites.

What You'll Do:

• Design, implement, and operate our Juniper/Mist campus and branch infrastructure.
• Engineer and maintain the Palo Alto Networks security stack.
• Build and support AWS cloud networking — VPC design, Transit Gateway, Direct Connect/VPN, Route 53 — and hybrid connectivity between on‑premises datacenters and cloud, including WAN traffic engineering with BGP, OSPF, and SD‑WAN.
• Automate network configuration, validation, and deployment using Python, APIs, and infrastructure‑as‑code tooling (Terraform, Ansible)
• Modernize network observability — streaming telemetry, flow analysis, and cloud‑native monitoring.
• Maintain a working understanding of emerging architecture trends (next‑generation datacenter, SASE, zero‑trust); conduct proof‑of‑concept exercises, provide design mentorship, and communicate across business, creative, and technology teams.
• 24* Network support for Global network across multiple regions, on‑call
• Hands & feet support for DC and Campus sites.

What You'll Bring:

• 6+ years of enterprise network engineering experience across routing, switching, and wireless — with hands‑on depth in Juniper (EX/QFX/SRX, Mist) and/or Cisco (Catalyst, Nexus) platforms, and experience with (or strong readiness for) AI‑driven network operations such as Mist/Marvis.
• Strong knowledge of Internet routing protocols (BGP, OSPF), traffic engineering with BGP and SD‑WAN, and load balancing solutions.
• Hands‑on experience with Palo Alto Networks firewalls, including policy architecture and Panorama; Cisco ASA VPN, Global Protect, F5
• Working experience with AWS networking services — VPC, Transit Gateway, Direct Connect/VPN, Route 53, security groups — and cloud monitoring such as CloudWatch, plus core network services (DNS, DHCP, IPAM).
• Analytical problem‑solving skills across large‑scale distributed platforms, and the ability to communicate and deliver under deadline constraints.

Nice to Have:

• Active certifications: AWS Advanced Networking Specialty, or AWS Solutions Architect
• Prisma Access / SASE deployment experience, or Palo Alto Cloud Identity Engine (CIE) exposure.
• Infrastructure‑as‑code in production — Terraform or Ansible pipelines managing network state.
• Experience in a multi‑studio, multi‑BU entertainment or gaming enterprise environment.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.