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WekaIO

AI-native data platform for high-performance workloads

Senior Solutions Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeTaiwanNo salary listed

About the Job

Requirements

  • Knowledge of best practices and IT operations in enterprise environments, particularly mission-critical infrastructure.
  • Experience with automation tools or cluster management tools such as Ansible, Salt, Puppet, Bright, Jenkins, or xcat.
  • Knowledge and experience with scripting languages such as Python, Bash, or Perl.
  • Experience with source code control systems such as GitHub and git.
  • Experience with Ethernet or InfiniBand networking, particularly 100+Gb networks.
  • Experience with performance monitoring and tuning Linux systems.
  • Experience with HPC environments, including knowledge of HPC cluster management tools.
  • Experience with parallel filesystems such as Lustre, GPFS/SpectrumScale, or DDN.
  • Familiarity with software-defined storage.
  • Hands-on administration or operations knowledge of Kubernetes and containerized workloads.
  • Hands-on experience in Linux systems administration.
  • Strong interpersonal skills for technical presentations, architectural designs, and serving as a trusted advisor to customers, with experience in sales, consulting, or Customer Success.
  • Fluent written and spoken English and Mandarin Chinese to communicate with international stakeholders and cross-border teams.
  • Willingness to travel as needed.

Responsibilities

  • Manage customer experience from product sale through full deployment to production, ensuring a positive onboarding process.
  • Manage installation projects, including risk assessment, planning, deployment scheduling, and status reporting to customers and partners.
  • Document solution details, including diagrams and specifications, and translate undefined requirements into end-to-end solutions.
  • Use open-source technologies and tools to address project use cases.
  • Use coding languages or scripting methods to solve problems with custom workflows.
  • Collaborate with project stakeholders to scope effective approaches to complex technology infrastructure challenges.
  • Test code, processes, and deployments incrementally to streamline execution and minimize human errors.
  • Deploy and manage AI/HPC infrastructure in Linux-based environments for new and existing customers.
  • Provide ad-hoc knowledge transfers, develop handover materials, and guide customers during deployments.

Desired Qualifications

  • A BS in Computer Science or equivalent working experience.

About the Company

WekaIO

AI-native data platform for high-performance workloads

WEKA is an AI-native data platform that provides a cloud- and hardware-agnostic software solution for performance-heavy AI, ML, and GPU workloads. The WEKA Data Platform organizes and speeds data across on-premises, cloud, edge, and hybrid environments to turn isolated data into dynamic pipelines. It delivers high throughput and scalable data management to support enterprise AI initiatives and research workloads, helping teams gain faster insights. WEKA differentiates itself with a single scalable platform that works across multiple infrastructure footprints and emphasizes energy efficiency, aiming to simplify and accelerate data-driven AI workflows for large enterprises and research groups while replacing legacy data silos.

Company size
501-1,000
Company stage
Series E
Total funding
$465.1M
Headquarters
Campbell, CA
Founded
2013

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