DevOps Engineer
Core
Design, build, and operate highly available, distributed production systems at very high scale on AWS and GCP, including AI workloads and GPU inference.
Role type
Senior DevOps Engineer (Platform & Infrastructure)
Builds
Distributed production systems, AI/ML inference platforms, and the underlying infrastructure for Kaltura's video products.
Domain
Cloud Infrastructure (AWS/GCP), AI/ML Workloads, Video Streaming
Deliverable
production ML models
Required skills
AWS (EKS, ECS, S3, EC2, CloudFront, IAM, Bedrock, MSK, Lambda, Cloudwatch), Kubernetes, Helm, Docker, Terraform, CI/CD (GitHub Actions), Monitoring & Observability (Prometheus, Grafana), Linux Internals, Networking (TCP/IP, DNS, Load Balancing), AI Coding Tools
Preferred skills
System migration between stacks, Cross-team technical initiative leadership, GPU inference and serving experience
Technologies
AWS, GCP, Kubernetes, Helm, Docker, Terraform, GitHub Actions, Prometheus, Grafana, MongoDB, MySQL, Postgres, Redis, Kafka
Responsibilities
Lead initiatives end-to-end from design to production rollout; Design and operate distributed systems at scale; Modernize and consolidate platform stacks; Build and operate infrastructure for AI workloads; Drive system reliability, monitoring, and observability; Collaborate across Platform, Development, Architects, and AI/ML Researchers.
Seniority
Senior, hands-on IC