1 to 25 of 153 Permanent Bigtable Jobs

Azure SQL DW & Azure SQL, Azure Storage, HDInsight (Spark/Kafka),Azure Event Hub, Azure AD/IAM and Data CatalogORCloud DataFlow, DataPrep, CloudSQL, BigTable, BigQuery, Cloud Spanner, Kafka/Spark, Google Cloud IAMWhy should you apply? For top talent we offer a highly competitive salary and a number ...

. Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes . Exposure to non-relational databases (e.g., BigTable , DynamoDB ) and caching systems such as Redis or Memcached . Prior work on cost optimization , performance tuning , or infrastructure efficiency at scale. Familiarity with ...

. Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes . Exposure to non-relational databases (e.g., BigTable , DynamoDB ) and caching systems such as Redis or Memcached . Prior work on cost optimization , performance tuning , or infrastructure efficiency at scale. Familiarity with ...

billions of data points with near real-time processing of email exchanges in the shipping market Our Stack Google Cloud Platform - primarily PaaS services (Bigtable, Cloud SQL, Dataflow, Datastore, GKE, GCS, KMS, Pub/Sub) Amazon Web Services - multi-region, multi-account, with a broad range of managed services ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...

vLLM, Triton, PyTorch, or GPU-backed inference and training. Experience designing LLM evaluation frameworks, benchmarking systems, or quality regression testing. Experience with Vertex AI, Bigtable, Redis, or feature platform infrastructure. Experience with post-training techniques such as fine-tuning, RLHF, reinforcement learning, or reward modeling. Experience building agentic systems ...