Senior Staff Engineer, Network Modeling, Product Software

Job Summary

Equinix is the worlds digital infrastructure company operating 280 data centersacross the globe andproviding 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 Equinixs network continues to evolve and grow its essential for us to move towards autonomous operations the automation and orchestration of network management tasks without human intervention. To achieve this well 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.

Responsibilities

• Actively participate in the design development test and operation of highly reliable services and software to model network entities and relationships that compose Equinixs 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

Qualifications

• 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

• Experience with building software as a service running services with 24x7 on-call rotations

• Proficient in data management systems and technologies: GCP Spanner MongoDB Redis Neo4J

• Experience with containerization and orchestration technologies: Docker Kubernetes or other open-source alternatives

• Experience in working with network management protocols: gRPC Netconf

• Solid understanding of networking concepts protocols (e.g. ISIS BGP BMP LLDP) and their applications

• Strong experience in building & operating highly reliable distributed systems

• Proficient in using continuous integration and continuous deployment technologies: Github Actions ArgoCD

• Experience with public cloud (AWS GCP Azure) services and technologies

• Hands-on experience with observability stack (metrics logs traces) such as Grafana Prometheus Thanos

• Experience with agile software development practices including JIRA peer reviews Git CI/CD

• Excellent problem-solving and analytical skills to troubleshoot and resolve distributed system issues

• Strong written and verbal communication skills to effectively convey findings recommendations and technical details to various stakeholders

• Bachelors degree in computer science or related technical field

Preferred

• Masters degree or PhD in Computer Science or a related technical field

• Excellent coding skills in Golang

• Prior experience building a network model or digital twin

• Prior experience using AI to make real-time decisions (on the network)