Gigamon Jobs (NOW HIRING)

At Gigamon, our purpose is to protect the hybrid networks and data of the largest, most complex organizations on the planet. Certified as a Great Place to Work, we offer a deep observability pipeline that efficiently delivers network-derived intelligence to cloud, security, and observability tools. This helps our customers to eliminate security blind spots, optimize network traffic, and dramatically reduce tool cost and complexity, enabling them to better secure and manage their hybrid cloud infrastructure. Gigamon has served more than 4,000 customers worldwide, including over 80 percent of Fortune 100 enterprises, 9 of the 10 largest mobile network providers, and hundreds of governments and educational organizations.

As a Principal Software Engineer on the Network Management System team, you will lead the design and development of core GigaVUE-FM capabilities for network management, visibility, and traffic analysis across physical, cloud, and hybrid environments. You will build scalable backend services and cloud-native platform components that improve reliability, operability, and long-term product evolution. This is a hands-on technical leadership role focused on architecture, implementation, design quality, and mentoring within the team and closely related engineering groups. You will work closely with product management, engineering partners, and stakeholders to deliver resilient enterprise software and apply AI-driven automation in practical ways that improve both engineering workflows and product capabilities.

This role is based out of our Santa Clara, CA headquarters, following a hybrid schedule of on-site currently Monday, Tuesday, and Thursday (3 days per week), with additional on-site presence as business needs require.

What you'll do:

• Lead the design and development of core GigaVUE-FM capabilities for network management, visibility, and traffic analysis across physical, cloud, and hybrid environments.
• Design and build scalable, secure, and resilient enterprise-grade software systems and backend services.
• Drive architecture for extensible, high-performance platforms that support large-scale deployments and long-term product evolution within the NMS/FM domain.
• Develop distributed systems and cloud-native services that improve scalability, operability, and maintainability.
• Contribute deep technical expertise in networking and security domains, including common networking protocols and monitoring platforms.
• Partner with product management, engineering teams, and key stakeholders to deliver solutions aligned with customer and business needs.
• Participate in customer and third-party discussions, translating requirements, feedback, and escalations into durable product improvements.
• Lead design reviews, help evolve engineering standards for the domain, and guide critical technical decisions across the team.
• Mentor engineers across the team and adjacent engineering groups, helping strengthen technical depth and engineering best practices.
• Apply AI tools and automation pragmatically to improve engineering workflows, developer productivity, and product capabilities.

What you've done:

• Built 10+ years of experience developing complex enterprise applications, platform software, or distributed systems.
• Demonstrated strong programming expertise in Java; experience with Python or Golang is a plus.
• Delivered scalable, resilient, and secure production software systems.
• Developed deep experience in API architecture, backend service design, and platform engineering.
• Shown strong technical leadership through architecture ownership, design reviews, mentoring, and cross-team collaboration.
• Built solid knowledge of networking fundamentals and common networking protocols.
• Gained experience in network monitoring, observability, cybersecurity, or related infrastructure domains.
• Worked with cloud-native platforms and public cloud environments such as AWS, Azure, or GCP.

Who you are:

• You are a hands-on technical leader who moves effectively between architecture, design, and implementation.
• You bring strong technical judgment and communicate clearly with engineering, product, and stakeholder teams.
• You care deeply about software quality, scalability, resilience, and maintainability.
• You enjoy mentoring others and helping elevate the broader engineering organization through practical guidance and example.
• You apply AI and automation thoughtfully to solve real engineering and product problems.