Senior DevOps Engineer, Platform Engineering
Core
Building and maintaining foundational infrastructure, CI/CD systems, and Kubernetes-based platform infrastructure to run AI/ML video analytics workloads at scale.
Role type
Senior DevOps Platform Engineer
Builds
Scalable CI/CD pipelines, Kubernetes platform infrastructure, observability stacks, and automation frameworks for AI/ML workloads.
Domain
AI/ML infrastructure, GPU-accelerated computing, cloud-native platforms
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, Helm, container orchestration, CI/CD pipeline management, Python scripting, Linux systems administration, release engineering, observability stack management, distributed systems
Preferred skills
GPU infrastructure management, BareMetal and hybrid cloud environment management, GitOps workflows, Infrastructure as Code (Terraform, Ansible), NVIDIA Metropolis/DeepStream platform experience
Technologies
Jenkins, GitHub/GitLab Actions, Runners, Kubernetes, Helm, Prometheus, Grafana, ELK, Terraform, Ansible, AWS, GCP, Azure
Responsibilities
Compose and maintain scalable CI/CD pipelines; Develop and manage Kubernetes-based platform infrastructure; Build scaling and performance measurement frameworks; Define and implement release engineering processes; Drive developer efficiency via DevOps tooling and automation; Own observability and monitoring infrastructure; Troubleshoot hardware and OS issues across BareMetal and GPU servers
Seniority
Senior, hands-on IC