Teams at Salvo Software

Designs and operates MLOps infrastructure for production machine learning and LLM systems across cloud, on-premises, and air-gapped environments. Builds training, deployment, CI/CD, inference, monitoring, and infrastructure-as-code workflows; manages containerized workloads, Linux servers, networking, security, GPUs, and observability. Establishes platform standards, guides AI and RAG engineers, troubleshoots incidents, and ensures scalable, secure, reliable, and cost-effective AI deployments.

Own the company’s cloud environments, infrastructure as code, CI/CD pipelines, container platforms, observability, cloud security, cost optimization, and AI infrastructure. This solo DevOps role designs and manages AWS, GCP, or Azure systems; develops automation with Python or Bash; supports Kubernetes and Docker production environments; and guides long-term infrastructure strategy while supporting globally distributed teams.

Designs, builds, and owns production RAG systems, including ingestion, chunking, embeddings, hybrid retrieval, reranking, evaluation, secure multi-tenant access, and LLM serving. Optimizes open-source models with Ollama and llama.cpp across cloud, on-premises, and air-gapped environments. Establishes architecture standards, reviews designs, mentors AI developers, evaluates emerging RAG techniques, and supports Azure/AWS infrastructure, Kubernetes deployments, CI/CD, observability, and Kafka-based ingestion pipelines.