• Build and improve an on-demand GPU workstation platform with lightweight containerization or virtualization • Implement scheduling, reservation, registration, image management, storage mounting, SSH with SSO, and developer-friendly access flows • Automate cluster namespace configuration across CPU, GPU, memory, and storage allocations • Support hierarchical capacity allocation models with RBAC-based administration • Automate storage import, export, and archival workflows as allocations change • Build monitoring, alerts, and automated incident ticket creation for large-scale cluster environments • Improve integrations between source control, CI/CD, package distribution, and GPU-connected development workflows • Contribute automation, scripts, and agentic tooling that improve infrastructure and day-to-day research workflows

• Build and improve an on-demand GPU workstation platform with lightweight containerization or virtualization • Implement scheduling, reservation, registration, image management, storage mounting, SSH with SSO, and developer-friendly access flows • Automate cluster namespace configuration across CPU, GPU, memory, and storage allocations • Support hierarchical capacity allocation models with RBAC-based administration • Automate storage import, export, and archival workflows as allocations change • Build monitoring, alerts, and automated incident ticket creation for large-scale cluster environments • Improve integrations between source control, CI/CD, package distribution, and GPU-connected development workflows • Contribute automation, scripts, and agentic tooling that improve infrastructure and day-to-day research workflows

• Support the operation and maintenance of AWS infrastructure, ensuring application and database availability • Assist in building and maintaining environments using AWS Lambda, containers, and Kubernetes • Contribute to the reliability and performance of the platform's services • Support the implementation of observability practices (metrics, logs, and traces) • Assist in using tools such as CloudWatch, Grafana, Prometheus, and Datadog • Develop scripts and small automations to reduce manual tasks (toil) • Support the implementation of Infrastructure as Code (IaC) using Terraform • Assist with troubleshooting infrastructure, application, and network incidents • Follow deployment, runtime, and operational standards defined by the team • Participate in incident response, postmortems, and continuous improvement initiatives

• Lead and coordinate a distributed DevOps Tooling team on a daily basis • Own backlog management, priority setting, and capacity planning • Drive sprint planning, execution, and delivery consistency • Act as the main escalation point for technical and delivery issues • Review CI/CD pipeline architecture and guide technical decisions • Support and unblock engineers, ensuring smooth delivery flow • Mentor team members and support their professional development • Communicate effectively with stakeholders, including: Status updates; Risks and issues; Delivery metrics • Collaborate with client-side program managers and product owners • Ensure alignment with enterprise processes, including compliance and governance