DevOps Engineer

2 weeks ago

Tel Aviv, Tel Aviv, Israel UR Tech Jobs Full time ₪100,000 - ₪120,000 per year

Join an innovative and dynamic AI technology company dedicated to transforming the way video content is experienced worldwide

Responsibilities

  • Design and elevate our scalable infrastructure for AI/ML workloads, ensuring top-tier availability for model serving and seamless content processing.
  • Develop efficient CI/CD pipelines and implement infrastructure as code using tools like Terraform and CloudFormation to automate provisioning and deployments.
  • Be a champion for developer experience by crafting self-service platforms, enhancing internal tooling, and establishing standardized development environments.
  • Orchestrate the management of containerized workloads on Kubernetes, expertly handling resource allocation for GPU clusters and video processing tasks.
  • Implement robust observability solutions to monitor system health, track LLM costs, and evaluate performance metrics effectively.
  • Collaborate closely with engineering teams to promote and optimize DevOps best practices, while also managing cloud costs and maximizing resource utilization.

Requirements

  • A seasoned professional with 4+ years of DevOps/SRE experience and strong expertise in cloud platforms (AWS, GCP, or Azure).
  • A proficient user of infrastructure as code tools (Terraform, CloudFormation), containerization technologies (Docker, Kubernetes), and CI/CD methodologies.
  • Experience in developer enablement, including building internal tools, fostering self-service platforms, and enhancing developer productivity.
  • Strong scripting capabilities in languages such as Python, Bash, or Go, along with hands-on experience in monitoring and observability tools (like Prometheus, Grafana, or DataDog).
  • A background in database and messaging systems (PostgreSQL, MongoDB, Redis, Kafka/RabbitMQ) is highly valued.
  • Excellent problem-solving abilities and communication skills, with a knack for recognizing and addressing developer pain points.

Bonus
: Experience with ML infrastructure, GPU cluster management, and platform engineering will set you apart

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