DevOps Engineer, Teads

• Strong experience with DevOps principles, including automation, monitoring, and cloud infrastructure management
• Ability to collaborate effectively with technical and non-technical teams, ensuring efficient and scalable solutions

Desirable

• We are seeking an experienced DevOps Engineer to join our AI Platform team
• In this role, you will manage and optimize AWS-based solutions, scale ML workloads, and work closely with data scientists and platform engineers
• You’ll be responsible for building CI/CD pipelines, managing cloud infrastructure with Terraform, and ensuring efficient deployment of Docker containers
• You will also optimize AWS Batch, SLURM, EKS, and GPU-based workflows, while implementing monitoring solutions for AI tools usage and business metrics
• You will be a key contributor to the infrastructure that powers research, model training, and deployment, working alongside the team to ensure high availability and performance
• AWS management, including AWS Batch, SLURM, EKS, and GPU-optimized workloads
• Build and maintain CI/CD pipelines using Jenkins and GitLab
• Utilize Terraform to manage infrastructure as code
• Set up and manage Docker containers and orchestrate their deployment in cloud environments
• Manage JupyterHub for seamless collaboration and resource sharing among data scientists
• Collaborate with data scientists to support research, training, and deployment of ML models
• Monitor and optimize data pipelines, ensuring efficient data flow and model training
• Implement automated monitoring and alerting for AI tools usage, business metrics, and pricing
• Ensure the reliability, scalability, and security of cloud infrastructure
• Proactively improve performance, reduce costs, and ensure smooth deployment cycles
• You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies