Key skills
JavaScriptPythonGoAIMachine LearningCachingLeadershipRisk Management
About this role
Meta's Edge & Network Service team is actively looking for people to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. Our team is the execution arm of the Meta network team and is responsible for the operations and support of all production networks (Edge, Backbone, and Labs) as well as our Content Delivery Network across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and engineers solving some of the most complex problems in the industry.
Responsibilities
Incident Response: Drive work investigating complex technical and process issues on a global scale spanning multiple reliability, security, and continuity disciplines for infrastructure spanning thousands of locations during major incidents/site events on edge, caching, and network infrastructure. This will require you to work closely and effectively with a variety of cross functional teams, managed service providers, and third-party vendor partners
* Escalation Management: Participate in the global team’s Tier 3 and 4 on-call rotation with the goal of routing issues as needed and understanding how processes or tooling might be improved, skills can be developed, or automation can be implemented to prevent the need to escalate similar issues in the future
* Risk Management and Assurance: Work internally and with upstream partner teams to ensure design, build, and operations aligns to applicable reliability, security, privacy, regulatory policy, and business continuity drivers
* Information and Data Assurance: ensure relevant operational process, procedure, and policy documentation is effectively managed and the data required to support operations is complete and accurate in systems
* Automation: Be heavily involved in driving the team to analyze operational events in order to identify new automation opportunities and help us achieve our goal of all faults in the network being fully remediated by software. This will include helping others understand our requirements and drive their roadmaps, but may include directly implementing light weight solutions in code
* Data Measurement: As an operations practitioner supporting our network, you will be expected to drive quality into the metrics we report to assist us in focusing on the areas that give us the best return on investment. This could include measurement and analysis of our escalation issues, fault/event trends, infrastructure capacity, and vendor performance failures
* Operational Leadership: As an operations practitioner within the team you will be expected to drive improvement in everything we do. In this role you will indirectly manage the activities of a large contingent workforce responsible for delivering road mapped projects and executing on recurring activities. You will drive standards across the network and ensure that we are fully compliant to those standards and policies
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
* Optical Network: knowledge of DWDM, ROADM, and RLS technologies in complex troubleshooting scenarios. Ciena and Nokia (formerly Infinera) professional level or equivalent experience
* Optical Technology Functional Experience: Minimum of 7 years working within global network or infrastructure operations, deployment, design/engineering and/or support teams
* Vendor Partner Experience: Minimum of 7 years experience partnering to translate performance issues into improvement plans with enterprise and service provider vendors such as network hardware platforms(Cisco, Juniper, Ciena, Nokia, and Arista), ITAD vendors, logistics vendors, and colocation vendors
* Business Metrics: Experience identifying key metrics/measures that will be used to evaluate success and validate the business impact of the program
* Professional Services: Experience with purchasing, negotiating and end-to-end supplier management, such as managing global RFPs and contract negotiations
* Partnership: Experience successfully collaborating across a global team and with cross-functional partners(e.g. physical infrastructure & network design, engineering, strategy, security, policy, and legal) at all levels to include vendor service delivery managers, individual contributors, and people managers
* Prioritization: Experience managing from the front to prioritize and drive the bigger mission forward by translating strategy into results Repair Function: 5 years of logical troubleshooting and physical repair with an understanding of physical infrastructure such as cable types, connector types, optic types, racks, patch panels, power/cooling, hardware components, and facility infrastructure
* Software Systems Practitioner: Knowledge and direct experience organizing and executing digital transformation initiatives at the practitioner level
* Data Design: Basic knowledge applying data led analysis and leveraging technologies like machine learning and predictive modeling algorithms to solve complex business problems
* Automation: Basic knowledge coding and automating in higher-level languages such as Python, Go, or JavaScript
* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Responsibilities
Incident Response: Drive work investigating complex technical and process issues on a global scale spanning multiple reliability, security, and continuity disciplines for infrastructure spanning thousands of locations during major incidents/site events on edge, caching, and network infrastructure. This will require you to work closely and effectively with a variety of cross functional teams, managed service providers, and third-party vendor partners
* Escalation Management: Participate in the global team’s Tier 3 and 4 on-call rotation with the goal of routing issues as needed and understanding how processes or tooling might be improved, skills can be developed, or automation can be implemented to prevent the need to escalate similar issues in the future
* Risk Management and Assurance: Work internally and with upstream partner teams to ensure design, build, and operations aligns to applicable reliability, security, privacy, regulatory policy, and business continuity drivers
* Information and Data Assurance: ensure relevant operational process, procedure, and policy documentation is effectively managed and the data required to support operations is complete and accurate in systems
* Automation: Be heavily involved in driving the team to analyze operational events in order to identify new automation opportunities and help us achieve our goal of all faults in the network being fully remediated by software. This will include helping others understand our requirements and drive their roadmaps, but may include directly implementing light weight solutions in code
* Data Measurement: As an operations practitioner supporting our network, you will be expected to drive quality into the metrics we report to assist us in focusing on the areas that give us the best return on investment. This could include measurement and analysis of our escalation issues, fault/event trends, infrastructure capacity, and vendor performance failures
* Operational Leadership: As an operations practitioner within the team you will be expected to drive improvement in everything we do. In this role you will indirectly manage the activities of a large contingent workforce responsible for delivering road mapped projects and executing on recurring activities. You will drive standards across the network and ensure that we are fully compliant to those standards and policies
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
* Optical Network: knowledge of DWDM, ROADM, and RLS technologies in complex troubleshooting scenarios. Ciena and Nokia (formerly Infinera) professional level or equivalent experience
* Optical Technology Functional Experience: Minimum of 7 years working within global network or infrastructure operations, deployment, design/engineering and/or support teams
* Vendor Partner Experience: Minimum of 7 years experience partnering to translate performance issues into improvement plans with enterprise and service provider vendors such as network hardware platforms(Cisco, Juniper, Ciena, Nokia, and Arista), ITAD vendors, logistics vendors, and colocation vendors
* Business Metrics: Experience identifying key metrics/measures that will be used to evaluate success and validate the business impact of the program
* Professional Services: Experience with purchasing, negotiating and end-to-end supplier management, such as managing global RFPs and contract negotiations
* Partnership: Experience successfully collaborating across a global team and with cross-functional partners(e.g. physical infrastructure & network design, engineering, strategy, security, policy, and legal) at all levels to include vendor service delivery managers, individual contributors, and people managers
* Prioritization: Experience managing from the front to prioritize and drive the bigger mission forward by translating strategy into results Repair Function: 5 years of logical troubleshooting and physical repair with an understanding of physical infrastructure such as cable types, connector types, optic types, racks, patch panels, power/cooling, hardware components, and facility infrastructure
* Software Systems Practitioner: Knowledge and direct experience organizing and executing digital transformation initiatives at the practitioner level
* Data Design: Basic knowledge applying data led analysis and leveraging technologies like machine learning and predictive modeling algorithms to solve complex business problems
* Automation: Basic knowledge coding and automating in higher-level languages such as Python, Go, or JavaScript
* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies