Principal Software Engineer, AI/ML-Enabled Applications

Gigamon

Principal Software Engineer designing and developing AI/ML-driven applications for network monitoring, analytics, and security use cases while leading the technical architecture and mentoring teams.

Posted 5/12/2026full-timeSanta Clara • California • 🇺🇸 United StatesLead💰 $208,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsDockerGoGoogle Cloud PlatformJavaKubernetesMicroservicesPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

10+ years of software engineering experience
Strong programming expertise in Java, with proficiency in Python or Golang
Designed and delivered scalable, resilient, and secure software systems in production environments
Hands-on experience with cloud-native platforms and public cloud environments, including AWS, Azure, and GCP
Built and operated applications using Kubernetes, Docker, and microservices-based architectures
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
Strong technical leadership through mentoring, leading design reviews, and influencing architecture across teams
Solid understanding of networking fundamentals and common networking protocols
Experience in network monitoring, observability, cybersecurity, or related domains

Benefits

Comp & perks

Health and other insurances such as life and disability
Retirement plan with company matching contributions
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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaPythonGolangAI/MLAPI architecturebackend service developmentcloud-native servicesmicroservicesKubernetesDocker

Soft Skills

technical leadershipmentoringdesign reviewsinfluencing architecturecollaborationcommunicationproblem-solvingscalability focusresilience focusobservability focus