Linux Infrastructure Engineer

General Atomics
San Diego, CA, United States
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Proxmox Private Networks Artificial Intelligence Bash Shell Configuration Management Information Systems Computer Programming System Configuration Data Centers Data Loss Data Structures Software Debugging
+47 more
Linux RAID File Systems Ethernet General-Purpose Computing on Graphics Processing Units Hardware Virtualization Hypervisor Networking Hardware Python (Programming Language) Unix Shell Logical Volume Manager Machine Learning Message Broker Network Architecture Networking Basics Network File Systems Network Administration Network Protocols Open Source Technology Performance Tuning Systems Development Life Cycle Remote Direct Memory Access Red Hat Enterprise Linux Redis Ansible Scientific Computating TCP/IP Transmission Control Protocol (TCP) Virtualization Technology Scripting Graphics Processing Unit (GPU) Computer Network Operations System Availability Caching Firewalls (Computer Science) Storage Technologies Information Technology Low Latency Bare Metal Apache Kafka Operational Systems Data Management Slurm ZFS File System Hardware Infrastructure Data Pipelines Nvme

Job description

General Atomics (GA), and its affiliated companies, is one of the world’s leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

With consultative direction within the Core Services group, this position is responsible for architecting, optimizing, and maintaining a high-velocity, on-premises Linux data pipeline supporting real-time, AI-driven machine learning models for the DIII-D national fusion reactor program.

As a hands-on technical practitioner, you will manage bare-metal deployments, orchestrate high-availability parallel storage arrays, and troubleshoot ultra-low-latency network protocols across a heavily segmented, secure infrastructure. This role focuses on deep, OS-level infrastructure and physical data center operations, bridging the gap between raw hardware capabilities and mission-critical scientific computing., * Bare-Metal & OS Administration: Plan, manage, and optimize day-to-day operations of on-premises, physical x86 and GPU server infrastructure running Red Hat Enterprise Linux (RHEL).

  • High-Velocity Networking: Provision and troubleshoot core network sharing protocols (NFS) and ultra-low-latency networking hardware supporting 100GbE backbones and RDMA over Converged Ethernet (RoCEv2).
  • Operational Technology (OT) Security: Maintain and fortify a heavily firewalled, push-only segmented internal network architecture, ensuring strict “Deny All Inbound” rules protect sensitive reactor control systems.
  • Storage Architecture Lifecycle: Build, configure, and maintain high-density NVMe storage tiers and software-defined, parallel filesystems (BeeGFS/ZFS) to handle massive multi-gigabyte payload dumps with zero ingestion bottlenecks.
  • Performance & I/O Benchmarking: Conduct granular system-level I/O benchmarking, diagnose deep kernel-level platform anomalies, and implement kernel parameter tuning to maximize data velocity and prevent data loss.
  • Automation & Provisioning: Develop and maintain automated infrastructure workflows and configuration management frameworks using Bash shell scripting and Ansible to streamline bare-metal node deployment and environment validation.
  • Data Center Operations: Manage physical data center footprints, including high-density server rack layouts, equipment delivery, hardware diagnostics, power infrastructure/UPS, and asset lifecycle tracking.
  • Collaborative Consultation: Act as a technical infrastructure expert, guiding the development of innovative solutions to unique computing challenges for data acquisition systems and scientific teams.
  • Vendor & Planning Coordination: Analyze new hardware architectures, engineer custom hardware Bill of Materials (BOM) alongside OEMs/ODMs, and represent the organization as a primary technical contact with suppliers.
  • Compliance & Safety: Observe all laws, regulations, and facility safety obligations, ensuring that all system upgrades and physical data center modifications are designed with established personnel operating procedures properly considered.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Requirements

Required Core Skills:

  • Typically requires a bachelor’s degree in information technology or a related discipline and fifteen or more years of progressive professional experience in an information technology department primarily in systems administration. May substitute equivalent working experience in the field in lieu
  • Expert Linux Skills: Detailed and extensive technical expertise in Red Hat Enterprise Linux (RHEL) system design, installation, configuration, and low-level kernel troubleshooting.
  • Storage Mastery: Proven hands-on experience implementing, configuring, and performance-tuning ZFS, RAID, and LVM storage structures.
  • Networking Fundamentals: Comprehensive understanding of TCP/IP networking, host-based firewalls, network bonding, and debugging network sharing protocols across segmented topologies.
  • Automation Background: Demonstrated proficiency writing advanced automation scripts in Bash or Python, coupled with configuration management toolsets (Ansible).
  • Physical Infrastructure Competency: Direct experience handling physical server deployment, rack configuration, hardware component replacement, and diagnostic testing within an enterprise data center environment.

Preferred (Nice-to-Have) Pipeline Skills:

  • Familiarity with High-Performance Computing (HPC) cluster environments and workload scheduling managers (e.g., SLURM, PBS Pro).
  • Experience configuring or administering parallel file systems (e.g., BeeGFS).
  • Familiarity with distributed, event-driven streaming architectures or message brokers (e.g., Apache Kafka).
  • Familiarity with in-memory data structures or caching layers (e.g., Redis).
  • Experience with open-source hypervisors and virtualization platforms (e.g., Proxmox).
  • Exposure to GPU computing clusters and high-performance environments (e.g., NVIDIA/Mellanox)., Aircraft Piloting, Ansible, Apache Kafka, Architectural Analysis, Artificial Intelligence (AI), Asset Management, Automation, Bash Scripting, Benchmarking, Bill of Materials (BOM), Caching, Configuration Management, Control Systems, Data Management, Data Structures, Delivery Driving, Diagnostics Solutions/Software, Diversity, Engineering Bill of Materials (eBOM), Ethernet, File Systems, Firewalls, GPU (Graphics Processing Unit), Hardware Administration, Hardware Architecture, Hardware Components, Hardware Virtualization, High Availability, Hypervisors, Identify Issues, Information Technology & Information Systems, Input/Output, Kernel Programming, Laser Science, Linux Operating System, Logical Volume Manager (LVM), Machine Learning, Memory Hardware, Message Broker, NFS (Network File System), Network Administration/Management, Network Architecture/Engineering, Network Debugging, Network Operations Center, Network Protocols, Network System Hardware, OEM (Original Equipment Manufacturer), Open Source, Operating Systems, Operations Processes, Original Design Manufacturer (ODM), Performance Tuning/Optimization, Procedure Development, Python Programming/Scripting Language, RAID Storage, Red Hat Linux Operating System, Redis, Regulations, Safety Compliance, Schedule Development, Scripting (Scripting Languages), Storage Architecture, Storage Software, Systems Administration/Management, TCP/IP (Transmission Control Protocol/Internet Protocol), Team Player, Testing, Topology, United States Citizen, Unix Shell Programming, Vendor/Supplier Planning, Wheel/Front-End Loader, Willing to Travel, Wireless Communications, x86 Processors

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