Channel Partner Engineer Llama jobs at Facebook in Ireland, Dublin

Build and develop tooling solutions to automate business critical processes in service of managing the health of the Meta production hardware fleet

Troubleshoot, diagnose and root cause system failures, working with key partners to identify and deliver solutions

Proactively identify opportunities to fix or enhance tooling, hardware and processes

Build subject matter expertise in one or more of the specialist areas covered by the RTP (Release To Production) team in Dublin

Scientific approach to troubleshooting, root-cause analysis and investigation

An engineering degree is typical, or related technical discipline, or equivalent work experience

4+ years experience coding in a higher-level language (Python, PHP, Java, Go, Rust, C++)

Experience building, maintaining and debugging production services or platforms - usually (but not necessarily) in a linux/unix environment

Knowledge of server architecture and components across Compute/Storage/AI Systems/Networking

4+ years experience coding in a higher-level language (Python, PHP, Java, Go, Rust, C++)

Experience managing and debugging hardware platforms in a cloud environment

Demonstrated ability to drive projects to successful business outcomes

Own back-end services like our container fleet management systems, front-end services like Chat and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between

Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world

Together with your engineering team, you will share an on-call rotation

Partnered alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by millions of users all around the world

Engineering degree, or a related technical discipline, or equivalent work experience

Experience coding in higher-level languages (e.g. Python, Rust, PHP, C++)

Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems and messaging systems

Experience learning software, frameworks and APIs

BS or MS in Computer Science

Lead complex channel partner integrations and projects, managing multiple high-priority initiatives simultaneously

Develop scalable solutions for partner enablement, focusing on automation and efficiency

Analyze partner requirements and provide strategic recommendations to improve integrations and deployments

Mentor other engineers and contribute to best practices for the partner engineering team

Collaborate with cross-functional teams to align channel partner initiatives with company goals

Design and implement optimization strategies for Llama models in channel partner infrastructures

Contribute to the development of the Channel Partner roadmap, considering Llama's model roadmap and partner evolution

Participate in the creation and maintenance of business function-specific evaluations and benchmarks

Gather and analyze technical feedback from partners and their customers, using insights to drive improvements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

10+ years of experience in software engineering, technical consulting, or a related field.

Experience working with channel partners, including understanding their technical requirements and developing solutions to meet those needs.

Experience with machine learning, artificial intelligence, cloud infrastructures, and enterprise software deployments.

Experience leading complex technical projects and partner integrations.

Experience influencing both technical and non-technical stakeholders.

Experience working with government and enterprise clients in AI/ML deployments

Experience working with Llama or other large language models

Experience with cloud-based AI platforms such as AWS SageMaker or Google Cloud AI Platform

Familiarity with multiple cloud platforms (AWS, Azure, GCP) and containerization technologies

Knowledge of data privacy and security regulations relevant to AI/ML deployments

Experience with performance optimization of large-scale AI models

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.

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 directly or indirectly manage the activities of a large contingent workforce responsible for delivering road-mapped projects and executing on recurring operational activity. As such, identifying improvement opportunities across policies, processes, and procedures is essential to improve efficiency and quality of the activities. You will drive standards across the network and ensure that we are fully compliant to those standards and policies.

Risk Management and Assurance: Work internally and with upstream partner teams to ensure design, build, and operations aligns to applicable reliability, security, privacy, regulatory, and business continuity drivers.

Collaboration and Partnership: You will work closely on supporting our internal customers (Network Engineering, Systems Engineering, Traffic, Logistics, Program Management, IT asset disposal, and Hardware partners) and ensuring that their needs and issues are being addressed proactively across global sites.

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.

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.

International and Domestic travel may be required up to 15 percent travel.

Information Technology Functional Experience: Minimum of 5 years working within network or infrastructure operations, deployment, design, engineering, and/or support teams.

External Vendor Partner Engagement: Minimum of 5 years experience partnering to translate performance issues into improvement plans with enterprise and service provider vendors such as network hardware platforms(Cisco, Juniper, Ciena, Infinera, Nokia, and Arista), ITAD vendors, logistics vendors, and colocation vendors.

Risk and Assurance Management: Minimum of 5 years of experience in operational compliance, physical & logical infrastructure security, and/or business continuity disciplines.

Proficient in at least one of the network domains: IP network, caching appliance infrastructure, CDN/Edge network, including topology, protocol, hardware and architectures.

Partnership: Experience successfully collaborating across a global team and with cross-functional partners at all levels to include vendor service delivery managers, individual contributors, and people managers.

Business Metrics: Experience identifying key metrics/measures that will be used to evaluate success and validate the business impact of the program

BS or MS in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience.

Network Protocol: advanced knowledge of TCP/IP, IPv4/v6, Border Gateway Protocol, Intermediate System to Intermediate System, Open Shortest Path First, and/or Multi-protocol Label Switching in complex troubleshooting scenarios. Cisco and Juniper Professional level or equivalent experience.

Operations Center Experience: 5 years of direct leadership experience within a global Network Operations Center or Information Technology Operations Center environment to manage Service Level Agreements and continuous improvement against metrics at scale.

Software Systems Practitioner: Basic knowledge and direct experience implementing configuration changes on systems for monitoring, alerting, and repairing networks.