AI Platform Specialist (GCP/AWS)

ITTConnect; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

An innovative firm is seeking an AI Platform Specialist to join a dynamic team supporting cutting-edge AI services. This remote role offers the opportunity to work with a global leader in technology and consulting, focusing on enhancing AI applications and workloads. You'll be responsible for providing technical support, troubleshooting Kubernetes deployments, and collaborating with cross-functional teams to ensure high performance and reliability. If you are passionate about AI and cloud technologies and thrive in a collaborative environment, this position is perfect for you.

Qualificações

• In-depth knowledge of cloud architectures (GCP & AWS) and Kubernetes.
• Proven ability to diagnose and resolve technical issues in production.

Responsabilidades

• Provide Tier 1 & Tier 2 support for AI-driven applications and workloads.
• Collaborate with teams to resolve complex issues and optimize AI services.

Conhecimentos

Kubernetes

Cloud-Native Technologies

AI/ML Software

Technical Support

Communication Skills

Time Management

Formação académica

Bachelor's Degree in Computer Science or related field

Ferramentas

Google Anthos

Helm

Ansible

Terraform

ServiceNow

Jira

New Relic

Prometheus

Grafana

Descrição da oferta de emprego

Direct message the job poster from ITTConnect

Finding the best Technology & Sales talents - Business Development - Sales - Account Management

ITTConnect is seeking an AI Platform Specialist to work remotely for a client in the US. This is a potentially long-term position with a client that is a global leader in consulting, digital transformation, technology, and engineering services with over 300,000 team members in nearly 50 countries. The end client is in the retail space.

Job location: Remote, work from home, anywhere in Brazil.

Only resumes in English will be reviewed.

MUST BE fluent in English. All interviews will be in English only.

We are building a new team of platform specialists to support and enhance high-performance AI services. These are highly technical, hands-on roles focused on customer, application, and platform support of AI-focused workloads.

As an AI Platform Specialist, these roles will provide application and GPU support. The team will deliver Tier 1 and Tier 2 support to developers and engineers while collaborating closely with Tier 3 and 4 platform teams and vendors for issue resolution. The roles require user knowledge of Kubernetes, virtualization, and cloud-native technologies as well as operator knowledge of GPUs and other AI supporting services. Each specialist should have a focus on customer service along with goals of reliability, scalability, and performance.

Responsibilities:

• Provide Tier 1 & Tier 2 support for AI-driven applications and workloads.
• Troubleshoot and resolve issues related to Kubernetes deployments, GPU utilization, and service performance.
• Collaborate with Tier 3+ teams, including Kubernetes engineers and external vendors, to escalate and resolve complex issues.

Kubernetes & Cloud-Native Operations:

• Full adoption, creation, and integrations into automated services using Helm, Ansible, Terraform, etc.
• Deploy, manage, and support containerized AI workloads on Google Anthos-powered Kubernetes clusters.
• Ensure adherence to pod security policies, automated rollouts/rollbacks, and best practices for scalable and secure Kubernetes environments.

GPU Infrastructure & AI Services Management:

• Optimize and support GPU-enabled workloads including CUDA and other AI acceleration frameworks.
• Assist in the installation, configuration, and support of AI coding assistants (e.g., Codeium).

Observability & Documentation:

• Maintain detailed operational documentation, runbooks, and troubleshooting guides.
• Utilize monitoring/logging tools like New Relic, Big Panda, Prometheus, Grafana, and other observability frameworks.

Process Improvement & Collaboration:

• Work cross-functionally with developers, IT teams, and vendors to ensure seamless deployment and support of AI services.
• Contribute to CI/CD pipelines, automation, service, and security best practices.
• Track and communicate work through task management platforms (ServiceNow and Jira).

Requirements:

• Hybrid Cloud – In-depth knowledge of private (on-premises) and public (GCP & AWS) cloud architectures and services.
• AI/ML Software – Developer experience with DevOps practices (Git, Jenkins, etc.) as well as working with AI/ML engineers and data scientists.
• AI/ML Hardware – Experience deploying, supporting, and optimizing on-premises and cloud GPUs (NVIDIA & AMD) enabled infrastructure (VMs & Containers).
• Kubernetes Expertise – Hands-on experience with deploying and managing containerized workloads in Kubernetes.
• Technical Support & Troubleshooting – Proven ability to diagnose and resolve customer and platform issues in production environments.
• Strong Communication & Documentation – Ability to clearly document procedures, write knowledge base articles, and collaborate with customers and teams.
• Time Management & Accountability – Ability to work independently, prioritize tasks, and manage workload effectively.

Preferred Qualifications:

• Experience with GPU orchestration tools like Run:AI, NVIDIA AI Enterprise, VMWare Private AI Foundation, etc.
• Exposure to AI coding assistants like Codeium, Copilot, or Tabnine.

About the Team & Reporting Structure

These positions will report to the Senior AI Architect and work as peers within a specialized AI support team. Collaboration with internal VM and container support teams as well as NVIDIA, Codeium, and other vendor specialists will be essential for supporting customers, troubleshooting, and optimizing AI workloads.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries
• IT Services and IT Consulting and Telecommunications