DevOps Engineer

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.
  
  

• 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.