What you'll be doing:

• Kubernetes System Administration in a large-scale DevOps CI/CD environment. Designing and implementing clusters, cluster segmentation, internal/external networking for 4+ CI/CD deployment environments; dev, test, staging, production.
• Implementation of the Kubernetes architectures for configuration, hardening, networking, sizing, scaling etc. to support a CI/CD pipeline for NVIDIA products.
• Configuring Kubernetes auto provisioning, and auto scaling of CI/CD job/build agents/runners/nodes.
• Implementing high availability clusters and disaster recovery solutions
• Large scale pod/container deployments across multiple Kubernetes clusters to support CI/CD pipelines for NVIDIA products.
• Design and implement monitoring solutions to gain more insight into applications and system health. Implement critical metric using various analytics methods and dashboards.
• Craft and develop tools needed for automating workflows. Reuse AI techniques to extract useful signals about machines and jobs from the data generated.
• Take part in prototyping, crafting, and developing cloud infrastructure for Nvidia.
• Participating in on-call support and critical issue coverage as a SRE engineer.

What we need to see:

• Strong background with Gitlab, Jenkins and/or other CI/CD systems.
• Proficient with Kubernetes administration, dockers & virtualization. Knowledge of standard methodologies related to security.
• Proficient with data analytics/visualization & monitoring tools like Kibana, Grafana, Splunk, Zabbix, Prometheus and/or similar systems.
• Solid programming background in python and/or similar scripting languages.
• Experience of maintaining cloud infrastructure and highly available production environment.
• Strong background in dockers, containerization and managing large scale container/pod deployments for Kubernetes clusters.
• Excellent debugging, problem solving and analytical skills.
• Strong understanding of architectural requirements and development processes involved in building reliable, robust, scalable data products and pipelines.
• Experience in Databases both SQL (MySQL) and NoSQL (MongoDB, AstraDB).
• Proficient with configuration management tools like Ansible, Chef, Puppet and source code management & binary repository systems like GitLab, GitHub, Artifactory etc.
• Demonstrable experience working in large scale enterprise production systems.
• 8+ years of proven experience.
• Bachelor’s or Master’s degree in computer science, Software Engineering, or equivalent experience.