Data Center Production Operations Engineer

We seek an IT professional with advanced, hands-on technical skills in server hardware and Linux - ideally in a Data Center environment. Having broad knowledge of server administration and participating in projects in a large-scale distributed data center environment is a core competency of this individual. You should also have working knowledge and experience in a few of the following core areas: Hardware repair, OS management, Tooling and Automation, Networking, or Technical Project Management.

Data Center Production Operations Engineer Responsibilities:

• Support platform health by successfully resolving and closing tickets, while addressing the overall issue (i.e. addressing root cause) including, but not limited to, remote troubleshooting and physical inspection of services in data halls
• Participate in n-depth exploration and root cause analysis of highly technical issues within the data center, ranging from automated tooling to hardware failures and network issues
• Collaborate with cross-functional teams on projects and initiatives related to topics such as process, hardware and automation
• Point of contact for the introduction of new platforms and hardware to the site, in collaboration with partners and global resources, accelerating the time it takes to bring these products to sustained mass production
• Use tools and data analysis effectively to identify issues. Take actions to communicate with all stakeholders appropriately and manage or escalate as needed
• Identify corrective actions of hardware issues, work with internal teams and vendors
• influence future design changes to ensure ease of serviceability
• Solve systemic hardware and/or software issues at scale using scripting, automation, and tooling to drive global resolution
• Continuously evaluate and identify areas for improvement in processes, tools, and systems to optimize efficiency and quality of repairs
• Use data analytics to drive maximum server up-time and utilization rates, understanding hardware failure rates and service level agreements
• Support and train team members to evaluate and identify better ways to resolve issues, and define updates to tools and processes
• Provide engineering support and be a go-to technical resource for the team, leadership, and cross-functional teams in operating and maintaining data center servers
• Maintain and update documentation i.e. procedures, runbooks and guides
• Build cross functional relationships and influence policies and procedures that improve global data center operations
• Participate in 24/7 on-call rotation
• Ability to travel up to 15% of the time

• BS, BA or BEng in technical field or commensurate experience
• 5+ years of technical IT experience within an infrastructure environment, in a role such as Systems Administrator, DevOps Engineer, or Site Reliability Engineer
• Intermediate-level understanding in Linux (or equivalent OS) in a complex IT environment with the ability to triage, debug, and troubleshoot server issues
• Hands-on experience and knowledge of server hardware and components, including storage
• Intermediate-level knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, and network
• Experience managing technical issues and driving to the root cause
• Experience participating in technical projects related to areas such as process improvement, technology, and/or automation
• Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to the audience
• Intermediate-level knowledge of technologies such as HTTP, DNS, RAID, and DHCP
• Experience in providing technical guidance to external vendors
• Experience in debugging, modifying and developing commonly used scripting or programming languages in at least one of these languages: Bash, PHP, Python, SQL, Rust, Go or Perl
• Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console
• Experience using data and metrics to drive decisions

• Experience in fostering growth in others, and driving influence across all organizational levels
• Experience in a large-scale data center environment
• Experience with large-scale AI implementations
• Six Sigma knowledge/certification