Senior Software Engineer (Back-end)

About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the role We’re looking for a Sr. Infrastructure Software Engineer to join our platform team during an exciting phase of growth. In this role, you’ll own the end-to-end automation of provisioning, configuring, and operating large-scale GPU clusters across bare metal, Kubernetes, and Slurm environments. This is a hands-on technical role focused on building the tooling and pipelines that bring hundreds of GPU nodes online reliably and repeatably—working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact. Responsibilities Build and maintain fully automated pipelines for provisioning bare metal GPU clusters from zero to production Automate Slurm and Kubernetes cluster lifecycle—bootstrapping, upgrades, node provisioning, and decommissioning at scale Develop and maintain infrastructure for GPU node configuration, including drivers and firmware Own cluster validation pipelines, automating health checks and GPU burn-in tests Build day-2 operations automation, including node remediation, rolling upgrades, and automated drain/cordon workflows Write and maintain runbooks and documentation to enable reliable, repeatable operations Own the full observability stack for automation services, provisioning pipelines, and cluster health systems Required Experience 5+ years in infrastructure engineering or platform engineering 3+ years writing production Go Deep understanding of Kubernetes internals, including: Informers and work queues Controller-runtime and client-go CRDs, custom controllers, and operators Admission webhooks Experience building Kubernetes Operators Experience building gRPC and REST APIs in Go at production scale Familiarity with bare metal infrastructure concepts, including PXE, IPMI, and BMC Strong testing discipline across unit, integration, and end-to-end tests Proven ownership of observability stacks such as Prometheus, Grafana, OpenTelemetry, and Loki (or similar) Preferred Qualifications Knowledge of GPU workload infrastructure Experience with RoCE networking automation Experience with GitOps tools such as ArgoCD Experience with CI/CD tools such as GitHub Actions and Argo Workflows Experience with Ansible and Terraform What We Offer Stock Options 100% paid Medical, Dental, and Vision insurance for Employees Company Health Savings Account Contributions 100% paid Short Term and Long Term Disability Insurance for Employees Life and Voluntary Supplemental Insurance Options Other Insurance Options, such as Pet & Legal Insurance Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support Flexible Spending Account 401(k) Employee Assistance Program Flexible PTO Paid Holidays Parental Leave Other In-Office Perks Equal Employment Opportunity TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law. Reasonable Accommodations TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected]. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law. Background Checks Where permitted by law, employment may be contingent upon the successful completion of a job-related background check. Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.