| AI Cloud DevOps Engineer EST candidates only (Remote) at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2252367&uid= From: Shubhra Soni, Sonitalent [email protected] Reply to: [email protected] Hi, Hope you are doing well, We are looking for AI Cloud DevOps Engineer if you are interested kindly send me your updated resume. Job: AI Cloud DevOps Engineer LinkedIn : Must with photo location Location : EST candidates only (Remote) Duration: 9 months (Possibility of extension) Experience: 10 years in total, 5 years in DevOps In these roles you will be responsible for: Platform Support & Incident Response o Provide Tier 1 & Tier 2 support for AI-driven applications and workloads. o Troubleshoot and resolve issues related to Kubernetes deployments, GPU utilization, and service performance. o Collaborate with Tier 3+ teams, including Kubernetes engineers and external vendors, to escalate and resolve complex issues. Kubernetes & Cloud-Native Operations o Full adoption, creation, and integrations into automated services using Helm, Ansible, Terraform, etc. o Deploy, manage, and support containerized workloads preferably AI workloads on Google Anthos-powered Kubernetes clusters. o Ensure adherence to pod security policies, automated rollouts/rollbacks, and best practices for scalable and secure Kubernetes environments. Observability & Documentation o Maintain detailed operational documentation, runbooks, and troubleshooting guides. o Utilize monitoring/logging tools like New Relic, Big Panda, Prometheus, Grafana, and other observability frameworks. Process Improvement & Collaboration o Work cross-functionally with developers, IT teams, and vendors to ensure seamless deployment and support of AI services. o Contribute to CI/CD pipelines, automation, service, and security best practices. o Track and communicate work through task management platforms (ServiceNow and Jira). Requirements for this role include: Hybrid Cloud In-depth knowledge of private (on-premises) and public (P & AWS) cloud architectures and services. 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. Preferences: - Optional (nice-to-haves) 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. Proficient in development tools like Python, PyTorch, TensorFlow, Jupyter Notebooks, etc. Required schedule availability for this position is Monday-Friday (09:00am to 05:00pm EST). The shift timings can be changed as per client requirements. Additionally, resources may have to do overtime and work on weekends basis business requirement. Thanks & Regard Shubhra Soni Technical Recruiter| Sonitalent Corp. Email id : [email protected] Desk | (859) 659 - 3432 EXT 211 Address - 5404 Merri brook Lane, Prospect, KY, USA Keywords: continuous integration continuous deployment artificial intelligence information technology card Idaho Kentucky AI Cloud DevOps Engineer EST candidates only (Remote) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2252367&uid= |
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| 03:21 AM 13-Mar-25 |