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DevOps Infrastructure Engineer for AI Workload Orchestration
1 month ago
Are you a skilled DevOps engineer looking to take your career to the next level? Do you have a passion for designing and building automated infrastructure pipelines? We are seeking a talented Senior DevOps Engineer to join our cloud engineering team at Together AI.
About the RoleWe are hiring a highly experienced Senior DevOps Engineer to lead the development of software and processes for orchestrating AI workloads over large fleets of distributed GPU hardware. In this role, you will be part of a dynamic team that aims to automate everything and build failure-resistant and horizontally scalable cloud infrastructure for GPU-resident applications.
Key Responsibilities- Create highly automated infrastructure pipelines for deploying and scaling distributed and multi-tenant GPU-resident compute to new cloud and data center environments
- Design and build advanced CI/CD pipeline frameworks to ensure efficient and reliable deployment of AI models
- Implement tools to facilitate greater automation and operability of services, ensuring seamless integration with existing infrastructure
- Architect, deploy, and scale observability infrastructure to monitor and analyze system performance
- Collaborate with cross-functional teams to identify areas for improvement and implement best practices to enhance overall system reliability and efficiency
- Minimum of 5 years of relevant experience in DevOps, cloud computing, data center operations, SRE, and Linux systems administration
- Experience in programming languages such as Java, Python, Go, or C++
- Familiarity with cloud computing toolsets like Terraform, Vault, and Packer
- Strong understanding of configuration management tools like Ansible, Pulumi, Chef, and Puppet
- Experience with Kubernetes, containerization, and VPNs
Together AI is a research-driven artificial intelligence company dedicated to advancing the field of AI through open and transparent systems. We believe that by co-designing software, hardware, algorithms, and models, we can significantly lower the cost of modern AI systems and drive innovation for society. Our team has made significant contributions to leading open-source research, models, and datasets, and we invite you to join us on our mission to build the next generation AI infrastructure.
CompensationWe offer competitive compensation, including a base salary range of $160,000 - $230,000 + equity + benefits. Individual compensation will be determined by experience, skills, and job-related knowledge.
