Vectara
Platform Engineer
US Remote - Bay Area Preferred +2 · Remote · Full-time · Posted Mar 25, 2026
- Location
- US Remote - Bay Area Preferred
Palo Alto, California, United States
United States - Experience
- 5+ years in platform engineering, DevOps, SRE, or backend infrastructure roles.
About the job
Own and improve infrastructure, deployment, and backend platform services for Vectara’s AI platform across cloud and on-premises environments.
What you'll do
- Build and maintain infrastructure-as-code, Kubernetes clusters, and CI/CD pipelines across AWS, GCP, and on-premises deployments.
- Deploy and optimize ML/NLP inference workloads and improve platform observability, reliability, scalability, and developer experience.
- Support enterprise deployments and contribute to backend services and platform features.
What they ask for
- 5+ years in platform engineering, DevOps, SRE, or backend infrastructure roles.
- Strong Kubernetes experience and hands-on infrastructure-as-code experience with Terraform, Helm, or Pulumi.
- Experience with at least one major cloud provider; AWS preferred, with GCP or Azure also valued.
- Proficiency in Go, Python, or Java; working knowledge of CI/CD systems and solid Linux, networking, and distributed-systems fundamentals.
Nice to have
- Experience operating ML inference workloads, streaming or messaging systems, data stores, or observability tools.
- Experience with GitOps, air-gapped or on-premises Kubernetes, enterprise infrastructure support, or AI-assisted development workflows.
Tools
Kubernetes, Terraform, Helm, AWS, GCP, GitHub Actions, ArgoCD, Python
AI focus
Deploy, scale, and optimize ML/NLP inference workloads; the posting also mentions AI-assisted development workflows and managing AI coding agents as preferred experience.
Model-written summary · the original posting is authoritative