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
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://careers.synopsys.com/job/sunnyvale/network-engineer-sr-staff/44408/98728712400