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Network Engineer

TekWissen LLC

  • Austin, TX
  • 1 day ago
  • $80–$90

Highlights

Git-backed hierarchical config management plus Jinja (Ansible/Salt/Puppet/Chef experience transfers), policy driven intent automation (declarative config pipelines transfer), graph modeled network state with diff-before-push (topology as data transfers), NetBox class inventory and asset sources of truth, in-house orchestration and topology visualization (any NMS you have operated or extended transfers), and Git class revision control with daily diff review. Job Description is below You support the networks inside hardware validation labs around the world: the datacenter fabrics, timing, optical, and provisioning systems that let accelerator teams validate new platforms from first bring-up through production handoff.

Numbers & Facts

LocationAustin, TX
IndustryComputer/IT Services
Salary$80–$90
Company Size100 to 499 employees
Year Founded2009
Websitehttp://www.tekwissen.com/

Description

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.
Title: Network Engineer
Duration: 12 Months
Location: Austin, TX
Job Type: Temporary Assignment
Work Type: On-site

Job Description is below
  • You support the networks inside hardware validation labs around the world: the datacenter fabrics, timing, optical, and provisioning systems that let accelerator teams validate new platforms from first bring-up through production handoff. L2/L3 lab fabric design, precision timing as a service, intent based provisioning and automation, optical plus test infrastructure, lab operations and reliability, and cost takeout through decommissioning..
Responsibilities:
Required: network engineering
  • L2/L3 at depth: VLANs, loop prevention, LAG, IPv4/IPv6 addressing, SLAAC and router advertisements, DHCP relay and helpers, PXE boot flows end to end.
  • BGP: eBGP peering design, prefix policy, uplink preference tuning, per-rack or per-site route origination toward the border and aggregation layer.
  • Datacenter fabrics: leaf/spine role design, EVPN/VXLAN overlays, migrating racks from L2 bridged to L3 routed boundaries.
  • IPv6 operations: first-hop security (RA guard, address locking), DHCPv6 relay and MAC-stable allocation behavior including client identifier pitfalls, /64 per rack scale planning and fabric design
  • Precision timing: PTP (IEEE 1588) design and troubleshooting, grandmaster placement, boundary and transparent clock concepts, sync quality monitoring against microsecond
  • budgets.
  • Fabrics for AI/HPC: PFC and lossless Ethernet tuning, link training, SerDes and optics basics (current generation high speed optics), awareness of how skew and tail latency hit collective communication.
  • Optical and physical plant: fiber types and connectors, optical circuit switching concepts, commercial traffic generators, cable validation, fiber characterization from hardware timestamps.
  • Access security: port ACLs, 802.1X/MAB flows, RADIUS, quarantine and remediation VLANs, device onboarding and registration.
  • Multi-vendor fluency: deep on at least one datacenter NOS (Arista, Cisco, Juniper, SONiC) with demonstrated ability to pick up others, including API driven operation with rollback.
  • Troubleshooting under pressure: packet level debugging, hardware timestamp analysis, method of procedure authorship, maintenance windows, rollback planning.
.
Required: automation and software
  • Python for network automation: device APIs, text templating, input validation, operator CLI tooling.
  • Templating: Jinja2 template design (reuse across sites and roles, safe defaults, per-port rendering from inventory).
  • Config as code: distributed revision control fluency (branch, review, land, revert), config review culture, CI gates on generated config (diff review, automated land criteria).
  • Intent modeling: declarative source of truth thinking where inventory plus intent renders device config, and generated config is never hand edited.
  • Linux networking: interfaces, routing tables, namespaces, capture tooling, service management, cookbook style config management (chef).
  • Data hygiene: inventory accuracy (roles, port maps, serial to port bindings), drift detection, reconciliation loops.
Required: operations and delivery
  • Lab or datacenter operations: oncall rotations, incident response, break/fix prioritization, vendor RMAs, multi-site coordination.
  • Change discipline: method of procedure authorship and peer review, blast radius control, pilot then scale.
  • Cost awareness: circuit inventories, carrier coordination for turn-down, tracking recurring spend to zero with chargeback confirmation.
  • Cross-functional delivery: shared ownership with platform teams (provisioning, observability), hardware bring-up teams, and lab customers, including consultative support outside the plan of record.
Preferred
  • AI/HPC cluster networking: scale-up versus scale-out fabric design, RDMA capable fabrics, collective sensitivity to timing.
  • Large fiber plant or optical switching operations.
  • IPv6-first or IPv6-only environments at scale.
  • Observability: time series metrics, topology visualization, low-noise alert design.
  • Vendor evaluation: switch selection criteria, optics compatibility testing.
What predicts success here:
  • This team works through internal platforms that all have direct industry analogues.
  • We hire for the transferable skill; ramp covers the internal name. Git-backed hierarchical config management plus Jinja (Ansible/Salt/Puppet/Chef experience transfers), policy driven intent automation (declarative config pipelines transfer), graph modeled network state with diff-before-push (topology as data transfers), NetBox class inventory and asset sources of truth, in-house orchestration and topology visualization (any NMS you have operated or extended transfers), and Git class revision control with daily diff review.
Success in the first half looks like:
  • A rack boundary migrated to routed operation with a clean demo, one provisioning flow that runs from intent with no manual CLI, timing service extended to a new cluster with monitoring attached, and every unplanned support ask tracked and categorized instead of lost in chat.
TekWissen Group is an equal opportunity employer supporting workforce diversity.

About Company

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



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