About Yotta
Yotta Data Services is powering Digital Transformation with Scalable Cloud, Colocation, and Managed Services.
Yotta Data Services offers a comprehensive suite of cloud, data center, and managed services designed to accelerate digital transformation for businesses of all sizes. With state-of-the-art infrastructure, cutting-edge AI capabilities, and a commitment to data sovereignty, we empower organisations to innovate securely and efficiently.
Job Scope
Senior Cloud Infrastructure/DevOps Solutions Architect to join its Infrastructure Specialist Team. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large-scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!
Total /Relevant Experience
- BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
- At least 5-8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.
Key Responsibilities
- Maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools.
- Develop and maintain continuous integration and delivery pipelines
- Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
- Deploy monitoring solutions for the servers, network and storage.
- Perform troubleshooting bottom up from bare metal, operating system, software stack and application level.
- Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and engage in POCs/POVs for future improvements.
- Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.
- Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.
- Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting.
- Excellent knowledge of Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.
- Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS. Familiarity with newer and emerging storage technologies is a plus.
- Proficiency in Python programming and bash scripting.
- Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc.
Good-to-Have Skills
- Knowledge of CI/CD pipelines for software deployment and automation.
- Knowledge of Kubernetes, container related microservice technologies.
- Experience with GPU-focused hardware/software (DGX, CUDA.)
- Background with RDMA (InfiniBand or RoCE) fabrics.
- K8s and Cloud Certifications would be bonus.
Qualifications Criteria
- BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
