WEKA

WEKA

WEKA provides a cutting-edge data platform for cloud and on-premises data management, offering WekaFS for high-performance storage solutions in data-intensive environments.

IT Services
201-500
Founded 2014
$294M raised

Description

  • Own the customer experience from product sale through onboarding, deployment, and production readiness.
  • Plan and manage WEKA installation projects, including risk assessment, scheduling, and customer and partner status reporting.
  • Design and document end-to-end solutions, including architecture diagrams and technical specifications.
  • Translate undefined customer requirements into practical solutions for complex infrastructure challenges.
  • Deploy and manage AI/HPC infrastructure in Linux-based on-premises and public-cloud environments.
  • Develop, test, and refine automation and custom workflows to make deployments scalable, predictable, and efficient.
  • Use open-source tools, scripting, and coding to address project-specific use cases.
  • Perform incremental testing of code, processes, and deployments to reduce errors and streamline execution.
  • Collaborate with Sales, Pre-Sales, Engineering, Product Management, customers, partners, and other stakeholders.
  • Provide knowledge transfer, handover materials, and deployment guidance to customers.

Requirements

  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • Hands-on Linux systems administration and performance monitoring/tuning experience.
  • Experience deploying or managing HPC environments and cluster management tools.
  • Experience with automation or cluster-management tools such as Ansible, Salt, Puppet, Bright, Jenkins, or xCAT.
  • Scripting experience with Python, Bash, or Perl.
  • Experience with Git and source code control systems such as GitHub.
  • Knowledge of Ethernet or InfiniBand networking, particularly 100+ Gb networks.
  • Experience with parallel file systems such as Lustre, GPFS/Spectrum Scale, or DDN, and familiarity with software-defined storage.
  • Hands-on experience with Kubernetes and containerized workloads.
  • Strong customer-facing communication, troubleshooting, documentation, presentation, and architectural-design skills; consulting, sales, or Customer Success experience is valued.
  • Knowledge of enterprise IT operations and mission-critical infrastructure best practices.
  • Willingness to travel as needed.

Benefits

  • Opportunity to work with AI, HPC, and cloud-native enterprise data infrastructure.
  • Collaborative, customer-focused workplace culture.
  • Commitment to a diverse, inclusive, and equal-opportunity workplace.

Interested in this position?

Apply directly on the company website

Apply Now

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