Lead Infrastructure Engineer – Data Systems

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Requirements:

• 8+ years in infrastructure engineering or systems administration, with increasing scope and leadership.
• Demonstrated experience tuning Linux kernel settings for disk and network performance.
• Deep experience with virtualized environments (multiple hypervisors).
• Proven ability to support large-scale SAAS infrastructure and large database clusters.
• Strong scripting and automation skills in Python and Bash.
• Familiarity with storage technologies, particularly iSCSI and network-based storage.
• Understanding of core networking concepts, including layer 3 routing and TCP/IP fundamentals.
• Experience with Ansible or similar configuration management tools.
• Strong documentation skills and operational discipline.
• Ability to travel on-site twice per year.

Responsibilities:

• Architect and implement high-performance data warehousing infrastructure in collaboration with Data Engineering.
• Tune Linux kernel parameters for optimal disk and network throughput—e.g., adjusting block sizes, optimizing IOPS, striping.
• Design and support hybrid infrastructure solutions that combine colocated servers and cloud platforms.
• Lead automation efforts using Ansible and scripting (Python, Bash) to configure, deploy, and maintain server clusters.
• Own the performance and scalability of systems supporting large-scale database clusters (e.g., Postgres, MySQL, Oracle).
• Define templates and standards for infrastructure deployment and management.
• Drive ongoing performance improvements across the infrastructure stack.
• Manage all aspects of data center operations including rack layout, IP planning, and hardware logistics.
• Establish robust monitoring and alerting for all infrastructure components.