Description:

Salvo Software is seeking a Senior MLOps Engineer to design and build infrastructure for machine learning and LLM systems.
The role involves creating reliable paths from experimentation to production, including training pipelines, model registries, and automated deployments.

Requirements:

5+ years of experience in DevOps/SRE/platform engineering, with at least 1 year in deploying ML models and LLM inference engines.
Proficiency in Linux, Docker, Kubernetes, major cloud platforms (AWS, Azure, GCP), and Infrastructure as Code (Terraform, Ansible).
Hands-on experience with CI/CD platforms (GitHub Actions, Azure DevOps), Bash, and Python scripting.
Strong knowledge of networking, monitoring/logging, and security/authentication practices.
Familiarity with ML tooling, vector databases, and workflow orchestration tools.

Opportunity to work in a global technology company with a focus on innovation and engineering excellence.
Collaborate with distributed teams and contribute to high-performance, scalable systems.

Skills