Subject Matter Data Center Network Engineer

Edgewater Federal Solutions, Inc.Albuquerque, NM
Onsite

About The Position

Edgewater Federal Solutions is seeking a Subject Matter Data Center Network Engineer to support a major national laboratory. This role involves providing technical knowledge and analysis for specialized applications and operational environments, performing functional systems analysis, design, integration, and documentation. The engineer will apply advanced principles to solve complex technical problems and develop automated solutions for engineering and scientific applications. Responsibilities include assisting with system improvements, optimization, development, and maintenance in areas such as information systems architecture, networking, telecommunications, automation, communications protocols, risk management, software lifecycle management, software development methodologies, and modeling and simulation. The role also requires analyzing user needs, defining functional requirements, and developing plans for moderately complex to extremely complex systems, as well as developing recommendations for system improvements and providing recognized expertise within the professional community.

Requirements

  • BS in relevant discipline plus a minimum of 3 years, or more, of directly related experience that demonstrates the knowledge, skills, and ability to perform the duties. In lieu of degree, 9 years of Related experience may be substituted for relevant education and vice versa.
  • Ability to obtain & maintain a U.S. Dept. of Energy Clearance
  • U.S. Citizenship is required.
  • Experience working in mission‑critical production environments with change control, incident response, and structured troubleshooting.
  • Strong analytical and troubleshooting abilities, with a demonstrated ability to drive issues to resolution during outages.
  • Clear verbal and written communication skills.
  • Strong understanding of L2/L3 networking fundamentals: VLANs, STP, LACP, static routing, OSPF, BGP, ACLs, QoS.
  • Experience configuring and supporting major network vendors (any of): Cisco, Arista, Juniper, Mellanox/NVIDIA Networking.
  • Familiarity with multipath topologies, spine‑leaf architectures, and high‑bandwidth fabrics.
  • Understanding of basic firewall and segmentation concepts (paths, zones, NAT, routing symmetry).
  • Familiarity with enterprise cabling best practices: fiber types (LR/SR/ER), transceiver selection, rack elevation awareness.
  • Working knowledge of monitoring and telemetry: CloudVision, Netropy/Apposite tools, Nagios/Prometheus/Grafana, or similar.
  • Experience troubleshooting firewall pathing issues, zone interactions, NAT64/NAT policy behavior, and segmentation used for HPC.

Nice To Haves

  • Hands‑on experience with Arista EOS, Cisco NX‑OS, Juniper JunOS, or Mellanox/NVIDIA platforms supporting 40/100/400Gbps networks.
  • Experience with BGP tuning, traffic‑engineering policies, ECMP management, asymmetric‑routing detection, and complex route‑map design.
  • Familiarity with EVPN/VXLAN, modern DC underlays, and high‑availability routing gateway designs (HA router pairs, blue/green cutovers)
  • Exposure to HPC networks and interconnects: RDMA, RoCE, basic InfiniBand concepts (subnet managers, fabric behavior).
  • Understanding of congestion behaviors common in HPC (parallel I/O bursts, GPU‑node communication patterns).
  • Familiarity moving or supporting HPC data flows across multi‑site infrastructures (tri‑lab WAN, DisCom, IHPC routing).
  • Understanding of distributed HPC storage systems (Lustre, BeeGFS, Isilon, Spectrum Scale) and the routing or MTU constraints around them.
  • Ability to work with HPC teams during large cluster deployments (rack placement coordination, switch firmware updates, cabling checks).
  • Hands‑on experience with automation or configuration management tools (Ansible, Python, Terraform).
  • Ability to build or maintain dashboards and telemetry for HPC network utilization (CloudVision pipelines, Netropy test data).
  • Familiarity with gNMI/gRPC or streaming telemetry for performance analysis and anomaly detection.
  • Understanding of high‑availability designs, reduced failure domains, and deterministic failover patterns in HPC networks.
  • Experience monitoring and optimizing latency, packet loss, MTU mismatches, and congestion across crypto tunnels or 100Gbps transport.

Responsibilities

  • Provide technical knowledge and analysis for specialized applications and operational environments.
  • Perform functional systems analysis, design, integration, and documentation.
  • Apply advanced principles, methods, and knowledge to solve complex technical problems and develop automated solutions for engineering and scientific applications.
  • Assist with system improvements, optimization, development, and maintenance efforts in areas such as information systems architecture, networking, telecommunications, automation, communications protocols, risk management, software lifecycle management, software development methodologies, and modeling and simulation.
  • Analyze user needs, define functional requirements, and develop plans to address moderately complex to extremely complex systems.
  • Develop recommendations for system improvements and provide expertise recognized within the professional community.
  • Work safely and effectively in live data center spaces (DCFIT coordination, raised floor environments, cabling standards).
  • Drive issues to resolution during outages.
  • Participate in on‑call rotations and support after‑hours change windows if needed.
  • Follow SOPs/MOPs, support planned change windows, and adhere to structured rollback/validation procedures.
  • Assist with capacity planning for rapidly growing HPC systems (rack density, port utilization, fiber paths, WAN circuit expansions).

Benefits

  • Equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, veteran status, and/or other statuses protected by applicable law.
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