# Network Engineer, Sr Staff

**Company**: Synopsys
**Location**: Sunnyvale, California
**Experience**: senior
**Job type**: full-time
**Salary**: $144000-$216000
**Category**: IT
**Industry**: Technology
**Ticker**: SNPS
**Wikidata**: https://www.wikidata.org/wiki/Q2303478

**Apply**: https://careers.synopsys.com/job/sunnyvale/network-engineer-sr-staff/44408/98728712400?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fe37c85e-969

## Description

You will join Synopsys, the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products.

As a Senior Staff Network Engineer, you will apply your expertise to a global network infrastructure that supports semiconductor innovation and AI-driven workloads across a 30,000-person organisation.

### Responsibilities

- Design and architect enterprise network solutions across LAN, WAN, data center, wireless, and security infrastructure that support a global workforce and AI-driven workloads

- Deploy, configure, and troubleshoot production network infrastructure using Cisco, Aruba, Versa, Palo Alto Networks, and Zscaler platforms in multi-site environments

- Build and maintain automation workflows using Python, Ansible, Terraform, and REST APIs to standardise configurations, reduce manual intervention, and improve deployment speed

- Lead the implementation of SD-WAN, EVPN/VXLAN, and DMVPN architectures to optimise connectivity and scalability across distributed sites

- Monitor network performance and security posture, analyse packet captures to diagnose latency, packet loss, and application-layer issues, and drive resolution

- Develop and maintain network documentation including architecture diagrams, configuration standards, security policies, and operational runbooks

- Mentor network engineers and cross-functional IT teams, sharing knowledge on complex protocols, troubleshooting techniques, and automation best practices

### The Impact You Will Have

- Enable seamless global connectivity and secure access for 30,000 employees, ensuring the network infrastructure scales with business growth and AI infrastructure demands

- Reduce network incidents and mean time to resolution by implementing proactive monitoring, automation-driven deployments, and standardised configurations

- Accelerate deployment cycles by building reusable automation frameworks that eliminate manual configuration errors and improve consistency across environments

- Strengthen security posture by designing and enforcing network segmentation, zero-trust access policies, and firewall rules that protect critical IP and customer data

- Improve network observability and troubleshooting speed by implementing AI-driven analytics and telemetry tools that surface issues before they impact users

- Drive a culture of continuous learning and technical excellence within the network team, raising the bar for how problems are solved and knowledge is shared

- Align network strategy with business objectives, ensuring infrastructure investments support product development velocity and operational resilience

### Requirements

- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience

- 8+ years of hands-on network engineering experience, with several years in a senior or architecture-focused role designing and supporting large-scale enterprise networks

- Expert-level knowledge of routing and switching protocols including BGP, OSPF, EIGRP, EVPN/VXLAN, SD-WAN, and MPLS in multi-vendor environments

- Deep experience with network security technologies and protocols including IPSec, IKE, GRE, TACACS, RADIUS, 802.1x, NAC, and EAP-TLS

- Proficiency with network automation and configuration management tools such as Python, Ansible, Terraform, OpenStack, and REST APIs

- Extensive hands-on experience deploying and troubleshooting Cisco routing/switching, Aruba wireless, Palo Alto firewalls, and Zscaler secure access platforms

- Strong packet analysis skills using tools like Wireshark or tcpdump to diagnose root causes of performance degradation, latency, or connectivity failures

- Understanding of AI and machine learning concepts as they apply to network operations, including familiarity with AI-driven anomaly detection, predictive analytics for capacity planning, and how large language models can assist with configuration generation and troubleshooting workflows

- Certifications such as PCNSE, ZIA/ZPA, CCNP, CCIE, CISSP, or equivalent work experience are a strong plus

## Skills

### Required
- BGP
- OSPF
- EVPN/VXLAN
- SD-WAN
- MPLS
- Python
- Ansible
- Terraform
- REST APIs
- Cisco
- Aruba
- Palo Alto Networks
- Zscaler

### Nice to have
- PCNSE
- ZIA/ZPA
- CCNP
- CCIE
- CISSP

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Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/sunnyvale/network-engineer-sr-staff/44408/98728712400?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)