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Lead Network Engineer - Backbone Engineering
- Bismarck, North Dakota, United States
- Bismarck, North Dakota, United States
Über
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.
Responsibilities
Act as a liaison with the vendor sourcing team
Help develop and maintain metrics on 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 new network designs
Develop Python and Ansible for network configuration automation
Work with connectivity partners and customer engagement teams for customer troubleshooting issues
Help with BGP peering relationship management and peering network design
Backbone router migrations, groomings, decomps
Network design life cycles including documentation and collaborative approvals
Maintain Network Data SoTs
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 (ex: 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 is 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 K8S
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 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
Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via Accommodations Request Form.
Salesforce uses AI tools to help recruiters assess candidates. Humans always make candidate selection and hiring decisions. Please see Candidate Privacy Statement for more information.
Posting Statement Salesforce is an equal-opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. It means that who you are and who you identify as will not be a factor. 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. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
Salary and Benefits In the United States, compensation offered will be determined by factors such as location, job level, experience, and skill. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. The typical base salary range for this position is $172,500‑$260,100 annually. In select cities within the San Francisco and New York City metropolitan area the range is $207,800‑$285,800 annually.
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Sprachkenntnisse
- English
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