Data Center Production Operations Engineer

Data Center Production Operations Engineer Responsibilities

• Support platform health by successfully resolving and closing complex 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
• Perform deep dives and root cause analysis of complex technical issues within the data center, ranging from automated tooling to hardware failures and network issues
• Facilitate collaboration with cross‑functional teams on projects and initiatives related to topics such as process, hardware and automation
• Lead the introduction of new platforms and hardware to the site and geographical area, 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 that are larger in scope and which impact one or multiple Data Centers. Take actions to communicate with all stakeholders appropriately and manage or elevate as needed
• Drive corrective actions of complex hardware issues, work with internal teams and vendors
• Provide an ownership stake, and influence future design changes to ensure ease of serviceability
• Solve complex and 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
• Coach and mentor 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 and Subject Matter Expert for the team, leadership, and cross‑functional teams in all aspects of 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

• BS, BA or BEng in technical field or commensurate experience
• 7+ years of technical IT experience within an infrastructure environment, in a role such as Systems Administrator, Dev Ops Engineer, or Site Reliability Engineer
• Expert in Linux (or equivalent OS) in a complex IT environment with the ability to triage, debug, and troubleshoot complex, systemic issues
• Hands‑on experience and knowledge of server hardware and components, including storage
• Expert knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, and network
• Experience managing multiple technical issues concurrently driving to the root cause
• Experience participating in or leading technical projects related to areas such as process improvement, technology, and/or automation. Brings peers, partners and other resources into the project where additional expertise is needed, and to provide growth and learning opportunities for others
• Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to the audience
• Deep technical 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
• Ability to travel up to 15% of the time

• Proven 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

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