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## For additional information, please review .* **Core System Implementation:** Implement and maintain essential infrastructure components, including specific configurations for on-prem GPU clusters (V100/A100/H100/H200 MIG) that underpin GenAI and high-performance workloads, ensuring operational stability.* **CI/CD Operations & Improvement:** Contribute to the efficient operation and continuous improvement of our CI/CD pipelines and automation frameworks. Leverage and contribute to our GitHub repositories to streamline development and deployment processes.* **System Reliability & Performance:** Monitor, troubleshoot, and optimize system reliability and performance across various environments. Work with the team to identify and resolve critical issues promptly, ensuring a high level of operational availability and client satisfaction.* **Automation Development:** Develop and implement automation scripts and tools to enhance operational efficiency, reduce manual effort, and improve the consistency of our infrastructure and deployment processes.* **Emerging Technology Support:** Provide hands-on support for the deployment and ongoing operation of emerging technologies relevant to GenAI, such as NIM images, MLflow 3.x, Coder, and LLMOps infrastructure. Actively contribute to the setup and maintenance of experimentation platforms like GCP Sandbox.* **Operational Best Practices:** Adhere to and actively contribute to established operational best practices, documentation, and runbooks to ensure consistency and maintainability of our systems.* **Team Collaboration:** Work seamlessly within the team, participating in discussions, sharing insights, and collaborating with colleagues and development partners to achieve shared objectives.* 6+ years of overall work experience, specifically 5+ years of dedicated, hands-on technical experience in Infrastructure, Site Reliability Engineering (SRE), or DevOps roles, with a proven ability to contribute significantly to complex operational environments.* Proven practical experience in working with and optimizing GPU infrastructure for GenAI and high-performance computing - is an advantage.* Strong practical knowledge of cloud environments, containerization technologies (Docker, Kubernetes, OpenShift), and operational aspects of serverless computing.* Proficiency in scripting languages (e.g., Python, Bash) for system automation, configuration, and diagnostics.* Demonstrated experience in implementing and operating CI/CD pipelines, infrastructure-as-code principles, and automation solutions, with solid experience using GitHub.* Understanding of and ability to apply enterprise security best practices, compliance standards, and data privacy considerations in daily operations.* Solid problem-solving skills with an ability to diagnose and resolve technical issues effectively in production environments.* Strong communication and interpersonal skills, fostering effective teamwork and collaboration within a diverse, global team.* Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.* **Cloud Platforms:** AWS, GCP (Operational experience).* **GPU Infrastructure:** NVIDIA V100/A100/H100 /H200 clusters, MIG (Practical operational experience).* **Scripting & Automation:** Python, Bash.* **CI/CD Orchestration:** Tekton, Harness, CI/CD for GenAI workloads.* **Version Control & Collaboration:** Git, GitHub Enterprise, Jira, Confluence.* **Database Technologies:** MongoDB/MaaS, PostgreSQL and Redis (Operational knowledge).* **Operating Systems:** Linux, Wintel (System administration experience).* **Containerization & Orchestration:** Docker, Kubernetes, OpenShift (Hands-on operational experience).* **Networking:** Load Balancers, DNS.* **Monitoring & Observability:** ELK Stack, Prometheus, Grafana, ITRS (Practical operational experience).* **Infrastructure as Code:** Terraform, Ansible (or similar) (Practical application).* **Developer Productivity Tools:** GitHub Copilot, StackOverflow for Teams, Devin, Delphine.* **Service Mesh:** Practical operational experience.* Bachelor’s degree/University degree or equivalent experience* Master’s degree preferred#J-18808-Ljbffr
