E
Equinix
Senior Staff Engineer (Network Modeling, Product Software)
Skills
Google Cloud PlatformMongoDBDockerGolangRedisNeo4jGrafanaAIAWSPrometheusGitHubKubernetesJiraAzure
1 month ago
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Important information
Contract type:
Permanent
Salary:
$136,000 – $245,000 / year
Location:
Redwood City, CA, USA
Work mode:
Onsite
Published on:
25 September 2026
What they need
- Equinix is the world’s digital infrastructure company, operating 280+ data centers across the globe and providing interconnections to all the key clouds and networks
- Much of the internet that you know flows through our rapid interconnected network and data centers
- As Equinix’s network continues to evolve and grow, it’s essential for us to move towards autonomous operations – the automation and orchestration of network management tasks without human intervention
- To achieve this, we’ll need a robust unified network model that accurately represents the network via real time telemetry for observability, which can also be used for intent-based configurations of the network
- The unified modeling team in Digital Interconnection is building this unified model which feeds Equinix Brain, a strategic company-wide initiative to uplevel the way we manage and use our asset data to improve margins and customer experience
- We are looking for an experienced Senior Staff Engineer to help us build and operate a highly scalable, available, and information-rich unified network model
- Actively participate in the design, development, test, and operation of highly reliable services and software to model network entities and relationships that compose Equinix’s global network
- Provide technical guidance and collaborate with stakeholders to identify network data and use cases that can enrich the unified network model to solve critical business problems that increase network reliability, visibility, awareness, and the ability to plan
- Develop solutions that leverage data from the unified network model to provide insights that enhance product capabilities for customers, aid operations teams to troubleshoot customer escalations and planning maintenances, and inform capacity planning teams
- Facilitate cross-stakeholder discussions to ensure alignment on software requirements and design trade-offs, while considering performance, scalability, and reliability factors
- Follow a proactive and collaborative approach to working with cross-functional teams, ensuring seamless integration of unified network model into Equinix Brain with other domains and Network-As-A-Service (NaaS) initiatives
- Lead by example through direct contribution, and provide direction in establishing development and operational best practices and standard methodologies
- Participate in an on-call rotation- Experience in working with network management protocols: gRPC, Netconf
- Proficient in using continuous integration and continuous deployment technologies: Github Actions, ArgoCD
- Bachelor’s degree in computer science or related technical field
- Proficient in data management systems and technologies: GCP Spanner, MongoDB, Redis, Neo4J
- Solid understanding of networking concepts, protocols (e.g. ISIS, BGP, BMP, LLDP), and their applications
- Strong written and verbal communication skills to effectively convey findings, recommendations, and technical details to various stakeholders
- Hands-on experience with observability stack (metrics, logs, traces) such as Grafana, Prometheus, Thanos
- Experience with building software as a service, running services with 24x7 on-call rotations
- Experience with containerization and orchestration technologies: Docker, Kubernetes, or other open-source alternatives
- Experience with public cloud (AWS, GCP, Azure) services and technologies
- 7+ years of experience developing distributed, scalable, highly available software services using Golang
- Background of working for SaaS, PaaS, IaaS, or cloud-based companies with prior experience of designing microservices and systems at scale with a focus on production readiness
- Excellent problem-solving and analytical skills to troubleshoot and resolve distributed system issues
- Strong experience in building & operating highly reliable distributed systems
- Experience with agile software development practices including JIRA, peer reviews, Git, CI/CD
- Excellent coding skills in Golang
- Master’s degree or PhD in Computer Science or a related technical field
- Prior experience building a network model or digital twin
- Prior experience using AI to make real-time decisions (on the network)
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