About this role
Senior AI Infrastructure Engineer at Seekr. Location: Austin or Reston or United States. Role: designing infrastructure, operating Kubernetes, optimizing inference Requirements: 5–8 years building distributed systems or cloud/platform services; production Kubernetes and ML infra experience; strong software engineering in Python and Go/Rust/C++; familiarity with GPU inference, model serving frameworks, and cloud platforms. Category: Engineering Seniority: Senior Level Tools: Kubernetes, Helm, Argo CD, Docker, Prometheus, Grafana, OpenTelemetry, Python, Go, Rust, C++, vLLM, SGLang, TensorRT-LLM, Triton Inference Server, Ray Serve, AWS, Azure, Oracle Cloud Infrastructure, Google Cloud Platform Commitment: Full Time Workplace: Hybrid Languages: English