kubecost jobs in San Diego

Senior AI Systems Engineer responsible for designing and operating CI/CD/CV pipelines, MLOps infrastructure, and observability stacks for production AI workloads at scale. Must build governance frameworks for AI assets (model registries, experiment tracking, CVE scanning), implement cost attribution and FinOps controls (OpenCost/Kubecost), and own the full observability layer (metrics, logs, traces, OpenTelemetry).…See more Requires 8+ years of hands-on DevOps/MLOps/platform engineering with production experience operating inference systems (Ray Serve, vLLM, Triton, NIM) on GPUs, GitOps tooling, and observability platforms, with ability to bridge engineering, architecture, and leadership on runtime and cost tradeoffs.

Lead DevOps and MLOps engineering for AI workloads at scale, owning CI/CD/CV pipelines, model-serving infrastructure (Ray, vLLM, Triton, NIM on GPUs), and a full observability stack (Prometheus, Grafana, Loki, Tempo, OpenTelemetry). Design and operate governance systems for AI assets (MLflow, Artifactory, Harbor, Trivy), cost attribution (Apptio, OpenCost, Kubecost), and FinOps controls; ensure every AI workload is delivered repeatably, traced end-to-end, cost-bounded per tenant, and policy-compliant by default.…See more Requires 8+ years in DevOps/MLOps/platform engineering with hands-on production ownership of AI or high-throughput services, and deep expertise in model-serving frameworks and observability tooling.