Are you a passionate innovator with a strong background in AI/Kubernetes infrastructure, excellent client-facing communication skills, and a relentless drive to solve complex problems? Joining our Professional Services team at the company means becoming part of a dynamic organization recognized for its commitment to delivering exceptional solutions. You'll collaborate with talented professionals to advance groundbreaking technologies and make a tangible impact on client success.
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The company Professional Services team plays a vital role in the success of each implementation by engaging with customers during both pre-sales and post-sales stages. They assist in crafting software-defined data center (SDDC) strategies and architecture. This team not only supports customers in successfully implementing products but also ensures comprehensive implementation of their virtualized and software-defined data centers through various consulting functions including assessment, design, implementation, integration, automation services, and project management.
Your Role:
- Design and implement scalable AI/Kubernetes infrastructure solutions on HCI platforms, tailored to customer requirements.
- Advise clients on best practices for configuring Kubernetes for efficient management of AI/Kubernetes workloads.
- Collaborate with cross-functional teams to align infrastructure capabilities with client AI/Kubernetes initiatives and strategies.
- Develop and maintain documentation for solution configurations, deployment guides, and knowledge-sharing resources.
- Monitor and optimize infrastructure performance, ensuring high availability and resource efficiency for AI model execution.
- Act as a subject matter expert, providing guidance on GPU acceleration technologies and their integration into AI workflows.
- Engage with clients to troubleshoot issues and provide ongoing support for their AI/Kubernetes infrastructures.
- Achieve measurable improvements in client satisfaction and project outcomes within the first year.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in designing and implementing infrastructure for data-intensive or AI/Kubernetes workloads.
- Strong expertise in container orchestration with Kubernetes.
- Knowledge of deployment lifecycle and resource requirements for AI/Kubernetes models, including LLM inference.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform or Ansible.
- Experience with GPU acceleration technologies (e.g., NVIDIA CUDA) in containerized environments.
- Familiarity with monitoring tools such as Prometheus and Grafana.
- Exceptional communication and problem-solving skills with a client-focused mindset.
- Proven ability to work independently in a dynamic, customer-facing environment.
- Experience with Hyperconverged Infrastructure (HCI) platforms is a strong plus.
Work Arrangement:
This position is primarily remote. There is no specific in-office requirement, but you may be required to come into a local office for specific purposes or travel to other locations based on business needs.
Language Requirements:
Not specified.
