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WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution deployable anywhere. The company transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training, inference, machine learning, and other compute-intensive workloads run faster, more efficiently, and consume less energy.
WEKA is a pre-IPO, growth-stage company that has raised $375M in capital with dozens of world-class venture capital and strategic investors. The company serves 12 of the Fortune 50 and other large enterprises and research organizations.
As a Senior Solutions Architect in Professional Services, you will be responsible for delivering enterprise-class solutions and services to customers and partners worldwide, with a focus on the EMEA region. You will be an integral component of the delivery and installation process for WEKA products, guiding customers through initial onboarding and beyond. You will not only plan and install products but also define, develop, and test automation to ensure deploying WEKA products is fast, predictable, scalable, and easy for customers and partners.
You will manage relationships with WEKA Sales, Pre-Sales, Engineering, Product Management, and other internal groups, as well as customers and partners globally. You'll work with diverse customers across many industries and environments, implementing AI, HPC, and other state-of-the-art WEKA environments both on-premises and in public cloud.
Key responsibilities include: owning the customer experience from product sale through full production deployment; managing installation projects including risk assessment, planning, deployment scheduling, and status reporting; documenting solution details with diagrams and specifications; translating undefined requirements into end-to-end solutions; utilizing open-source technologies and tools for specific use cases; using coding languages or scripting to solve problems with custom workflows; collaborating with project stakeholders on complex technological infrastructure challenges; performing incremental testing on code, processes, and deployments; and deploying and managing AI/HPC infrastructure in Linux-based environments for new and existing customers.
Qualifications: Excellent oral and written communication skills with strong focus on customer experience; excellent problem-solving, troubleshooting, and documentation skills; knowledge of best practices and IT operations within enterprise environments focusing on mission-critical infrastructure; experience with automation tools/cluster management such as Ansible, Salt, Puppet, Bright, Jenkins, or xcat; knowledge and experience with scripting languages like Python, Bash, or Perl; experience with source code control systems like GitHub and git; experience with Ethernet or InfiniBand networking, particularly 100+Gb networks; experience with performance monitoring/tuning Linux systems; experience with HPC environments including HPC cluster management tools; experience with parallel filesystems (Lustre, GPFS/SpectrumScale, DDN); familiarity with software-defined storage (SDS); hands-on administration/operation knowledge of Kubernetes and containerized workloads; hands-on experience in Linux systems administration; BS in Computer Science or equivalent working experience; strong interpersonal skills for technical presentations, architectural designs, and being a trusted advisor to customers (experience in sales, consulting, or customer success preferred); ability to provide ad-hoc knowledge transfers, develop handover materials, and guide customers during deployments; willingness to travel as needed.
