Technical Solutions Engineer

TensorWave

full-time

Posted on: 9/19/2025

Origin: • 🇺🇸 United States

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JuniorMid-Level

AWSAzureCloudDockerGoogle Cloud PlatformGraphQLKubernetesLinuxSpringTerraform

About the role

Act as first and second line of defense for technical issues (VMs, networking, API errors, orchestration tools, GPU utilization, etc.)
Manage tickets, live chat, and calls across Premium/Platinum support tiers and communicate clearly and empathetically to technical and non-technical users
Collaborate cross-functionally: escalate critical bugs, provide logs and context to engineering, and contribute to product improvement feedback loops
Write clear, technically accurate documentation and playbooks to improve support efficiency and self-service
Improve diagnostics tooling, chatbots, and macros to reduce MTTR
Support QBRs and onboarding sessions for top-tier customers alongside Customer Success Managers
Help enterprise ML engineers, DevOps teams, and CTOs solve complex challenges involving GPU workloads, infrastructure orchestration, and deployment at scale

2–4 years in technical support, cloud operations, or SRE environments
Hands-on experience with Linux environments (logs, bash, process/thread management)
Hands-on experience with cloud compute platforms (AWS/GCP/Azure or similar)
Hands-on experience with containerization or orchestration tools (Kubernetes, Docker, Terraform, SLURM)
Hands-on experience with AI/ML workloads (inference, training, fine-tuning)
Troubleshooting APIs and REST/GraphQL calls
Strong communicator with the ability to simplify complex technical issues
Comfort in a fast-paced startup environment where priorities shift rapidly
Familiarity with GPU-accelerated cloud environments