Staff Network Engineer

  • San Francisco, CA
  • Posted 10 hours ago | Updated 10 hours ago

Overview

On Site
USD 211,000.00 - 234,000.00 per year
Full Time

Skills

Artificial Intelligence
Decision-making
Facets
Scalability
Research
OCI
POP
Network Engineering
Network Administration
Scripting
Python
Operational Excellence
Change Management
Cloud Computing
Management
Virtual Private Cloud
Network Security
DNS
Dragon NaturallySpeaking
Virtual Machines
Amazon Web Services
Google Cloud
Google Cloud Platform
Backbone.js
Network Design
Network
Computer Networking
Operational Efficiency
Science
Law
Legal
Collaboration

Job Details

About the Role

The Uber Global Network Infrastructure team is looking for someone with a passion in developing intelligent network infrastructures and embedding adaptive AI-driven decision-making while operating these cloud and on-prem networks. This role will combine a strong background in on-prem and cloud networking engineering and operations - and their many challenges and triumphs - and take that understanding and expertise in creating a resilient, high-performance network.

If you value simplicity, work comfortably in a collaborative, fast paced environment, and are excited to both teach and learn, we'd love to talk to you.

- Design, build and operate all facets of our next-generation network solutions, to include cloud, transit, backbone and on-prem networks in a 24/7 environment that powers Uber's business.
- Responsible for ensuring network availability, performance and future scalability through automation.
- Embrace cross-team collaboration. You'll work closely with people across multiple Engineering and Business organizations to develop and implement network-based solutions that support our global growth.
- Apply your intellectual curiosity and research new technologies; figure out their practical applications within our principles and then bring it to life in our production networks.

\\-\\-\\-\\- What the Candidate Will Do ----

1. Create, develop and extend automation frameworks designed to automatically deploy or modify on-prem and cloud networking primitives, auto-mitigate common network failures, and improve operational health.
2. Provide production on-prem and cloud networking support (Google Cloud Platform, OCI), interconnects, and VPC creation.
3. Identify and work with stakeholders to drive new production designs and deployments for POP, backbone, transit or Cloud networking.
4. Participate in a 24/7/365 global on-call rotation.
5. Collaborate with internal and external teams and stakeholders for projects, new functionality, or troubleshooting operational issues.

\\-\\-\\-\\- Basic Qualifications ----

1. 7+ years of Network engineering and operational experience in production environments with proficiency in one or more programming/scripting languages (Python, Go) for network automation and tooling.

\\-\\-\\-\\- Preferred Qualifications ----

1. Experience leading large-scale green or brownfield architecture, designs, and deployments for global or national enterprise or Service Providers in backbone or data center network fabrics.
2. You are passionate about leveraging software innovations to automate network management, improve network observability, and remediate problems.
3. Proficiency in one or more programming or scripting languages such as Go or Python with 3+ years experience.
4. Proven ability to lead operational excellence through best-practice change management, outage mitigation and blameless post-mortem processes.
5. 4+ years of hands-on experience designing, deploying and/or operating Cloud networking in either Amazon Web Services or Google Cloud Platform environments (Direct peering, VPC networking, Security controls).
6. Knowledge about distributed systems such as Network/Application load balancers, DNS, VM/container networking.
7. Domain expertise in one or more of the following areas: AWS, Google Cloud Platform, Backbone network design and architecture, large scale on premise data center networking, network automation and observability, large scale distributed systems
8. You have great interpersonal skills, deep technical ability, and a portfolio of successful execution. You are open-minded to discuss various technical approaches and able to drive consensus across various stakeholders at Uber.
9. A relentless desire to build each network better than the last. Treat networking, operational efficiency, and automation as sciences with room for artful breakthroughs.

For San Francisco, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.