Lead Network Engineer - Backbone EngineeringCentaur Labs • San Francisco, California, United States
Lead Network Engineer - Backbone Engineering
Centaur Labs
- San Francisco, California, United States
- San Francisco, California, United States
About
The Backbone Engineering team is responsible for network capacity and connectivity strategy for the Salesforce core network, including peering relationships, capacity planning, and decision making for new PoP builds. The team is also responsible for the design and maintenance of backbone routing architecture, including any automation to make configuration changes easier and more predictable. The Salesforce Backbone is the architecture over which Salesforce customers transit to have access to their Salesforce applications and data. Customer success and trust are beacons for how the team approaches engineering on the Salesforce core network.
Responsibilities
Act as a liaison with the vendor sourcing team
Help develop and maintain metrics on our capacity vendors
Project manage new capacity installs with various teams including sourcing and field engineering
Update the network and associated datastores for capacity additions and decommissions
Work with various teams to provide feedback, document, and implement various new network designs
Develop in Python and Ansible for network configuration automation
Work with our connectivity partners and customer engagement teams for any customer troubleshooting issues
Help with BGP peering relationship management and peering network design
Backbone router migrations, grooms, and decommissions
Network design life cycles including documentation and collaborative approvals
Maintain Network Data Stacks of Truths (DoTs)
Required Experience and Competencies
Minimum 7 years in production network environments, or comparable experience
Proven project management skills
Experience working with telecommunications vendors
Experience with Cisco and Juniper carrier‑class routers (e.g., ASR9K, CRS, MX960, PTX, MX2K)
Experience with Cisco Nexus‑based switches
Knowledge of routing protocols such as BGP and IS‑IS
Fundamental understanding of WDM technologies
Strong Python coding skills
Good understanding of Unix/Linux‑based operating systems
Experience developing and maintaining network automation tools (e.g., Ansible)
Experience with Git or other version control systems
The ability to self‑manage multiple projects at one time
A good understanding of the current state of AI, machine learning, LLMs, MCP, etc.
A related technical degree required
Preferred Experience
Experience managing co‑located infrastructure
Experience with DWDM platforms, preferably Ciena and Cisco DCI
Experience with MACSec encryption
Extensive network troubleshooting and network monitoring skills
Hands‑on experience with production hardware life‑cycle management
Experience with Puppet, Terraform, Containers, and/or Kubernetes
Familiarity with CI/CD principles
Previous experience with lift and shift backbone router migrations
Experience administering global, web‑scale IP address allocations
Solid understanding of the transit, public peering and SFI spaces
Experience writing prompts against public AI chatbots (e.g., ChatGPT, Gemini)
Experience with AI‑assisted coding (e.g., Cursor, VSCode with AI plugins)
Prior experience with the Salesforce core application, either in a developer or support role
Compensation and Benefits The typical base salary range for this position is $184,000 - $253,000 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $200,800 - $276,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
Accommodations If you require assistance due to a disability applying for open positions, please submit a request via this Accommodations Request Form.
Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Compensation and Benefits Details In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
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Languages
- English
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