Senior Solutions Architect

wekatest

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

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Job summary

wekatest is seeking a Senior Solutions Architect to guide enterprise customers from planning through deployment of AI, HPC, and related infrastructure. The role blends architecture, hands-on installation, scripting, and troubleshooting to deliver repeatable, reliable deployments across customer environments.

Travel may be required. The position requires strong Linux administration, experience with AI/HPC deployments, and scripting across Python/Bash/Perl, plus knowledge of high-speed networks.

Qualifications

  • Experience with Linux systems administration in enterprise IT environments.
  • Experience with software-defined storage and AI/HPC deployments.
  • Scripting in Python, Bash, or Perl; familiarity with Git.
  • Knowledge of high-speed networking (Ethernet/InfiniBand).
  • Strong troubleshooting, documentation, and customer communication skills.
  • Ability to advise customers on architecture and deployment decisions; consulting experience is helpful.
  • Willingness to travel as needed.

Responsibilities

  • Plan deployments, assess risks, coordinate schedules, and report progress to customers and partners.
  • Turn customer needs into end-to-end solution designs, including technical specifications and diagrams.
  • Install and manage AI and HPC infrastructure in Linux environments, on premises or in public cloud settings.
  • Develop and test scripts, automation, and custom workflows to speed up deployments and reduce manual errors.
  • Troubleshoot infrastructure issues and perform incremental testing of code, processes, and deployments.
  • Coordinate with customer, partner, sales, presales, engineering, and product stakeholders; provide knowledge transfer and handover materials.

Skills

Linux systems administration
AI/HPC infrastructure deployments
Scripting: Python,Bash,Perl
Networking: Ethernet/InfiniBand
Troubleshooting & documentation
Customer communication & consulting
Willingness to travel

Tools

Ansible
Salt
Puppet
Jenkins
xCAT
Kubernetes

Job description

Role overview

Guide enterprise customers and partners from solution planning through deployment and production onboarding of AI, high-performance computing, and other demanding infrastructure. The role combines architecture, hands-on installation, troubleshooting, and automation, with a focus on making deployments repeatable and reliable across customer environments.


Responsibilities


  • Plan deployments, assess risks, coordinate schedules, and report progress to customers and partners.

  • Turn customer needs into end-to-end solution designs, including technical specifications and diagrams.

  • Install and manage AI and HPC infrastructure in Linux environments, on premises or in public cloud settings.

  • Develop and test scripts, automation, and custom workflows to speed up deployments and reduce manual errors.

  • Troubleshoot infrastructure issues and perform incremental testing of code, processes, and deployments.

  • Coordinate with customer, partner, sales, presales, engineering, and product stakeholders; provide knowledge transfer and handover materials.


Requirements


  • Strong Linux systems administration experience and familiarity with enterprise IT operations and mission-critical infrastructure.

  • Experience with software-defined storage and AI, HPC, or other large-scale infrastructure deployments.

  • Scripting ability in Python, Bash, Perl, or similar languages, plus familiarity with Git-based source control.

  • Knowledge of Ethernet or InfiniBand networking, particularly high-speed networks.

  • Strong troubleshooting, documentation, presentation, and customer communication skills.

  • Ability to advise customers on architecture and deployment decisions; relevant consulting, sales, or customer success experience is useful.

  • Willingness to travel as needed.


Nice to have


  • Experience with automation or cluster management tools such as Ansible, Salt, Puppet, Jenkins, Bright, or xCAT.

  • Kubernetes or container operations experience.

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