Principal Software Engineer, AI/ML-Enabled Applications - Santa Clara,CA - Hybrid

Gigamon • Santa Clara, CA

3d • Hybrid

About The Position

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, you will lead the design and development of AI/ML-driven, cloud-native applications that power network monitoring, analytics, and security use cases. You will work across distributed systems, backend services, and modern cloud platforms to deliver scalable, secure, and resilient enterprise software. This role combines deep technical leadership with hands-on engineering, shaping architecture, driving engineering standards, and mentoring teams. You will also help advance how AI tools and automation are applied to improve developer productivity, streamline workflows, and enhance 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.

Requirements

• Built complex enterprise applications or distributed systems through 10+ years of software engineering experience
• Developed strong programming expertise in Java, with proficiency in Python or Golang
• Designed and delivered scalable, resilient, and secure software systems in production environments
• Worked hands-on with cloud-native platforms and public cloud environments, including AWS, Azure, and GCP
• Built and operated applications using Kubernetes, Docker, and microservices-based architectures
• Developed deep expertise in API architecture, design, and backend service development
• Applied AI/ML technologies or AI-enabled tools in software products, engineering workflows, or automation use cases
• Demonstrated strong technical leadership through mentoring, leading design reviews, and influencing architecture across teams
• Built a solid understanding of networking fundamentals and common networking protocols
• Gained experience in network monitoring, observability, cybersecurity, or related domains

Responsibilities

• Architect and develop AI/ML-driven applications for network analytics, monitoring, and actionable insights
• Design and build scalable, secure, resilient, and enterprise-grade software systems
• Lead the development of cloud-native services and distributed systems across AWS, Azure, and GCP
• Build and deploy applications using containerized platforms and orchestration technologies, including Kubernetes and Docker
• Design and implement robust APIs and backend services that enable extensible, high-performance platforms
• Apply AI tools and automation to improve engineering workflows, developer productivity, and product functionality
• Drive architectural and design decisions with a focus on scalability, resilience, observability, and maintainability
• Provide technical leadership in networking and security domains, including networking protocols and monitoring platforms
• Lead design reviews and establish architectural standards, engineering guidelines, and development best practices
• Mentor engineers and help raise the technical bar across the organization
• Partner with product management, cross-functional engineering teams, and stakeholders to deliver solutions aligned with business goals

Benefits

• health and other insurances such as life and disability
• savings accounts such as a retirement plan with company matching contributions or similar
• paid time off (holidays, vacation, and sick)
• tuition reimbursement
• employee assistance program (EAP)
• business travel accident insurance
• employee discounts
• employee referral program
• Profit Interest Units plan

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed