Vectara
Platform Engineer
US Remote - Bay Area Preferred · Senior · Full-time
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About the role
- This is a hands-on role: you'll write Helm charts and Terraform one day, debug a Kafka consumer lag issue the next, and ship a backend service feature the day after.
- You'll deploy across AWS, GCP, and on-premises (including air-gapped environments), and you'll participate in an on-call rotation supporting enterprise customers.
Responsibilities
- Own CI/CD pipelines (GitHub Actions, Bazel, ArgoCD) and drive GitOps adoption.
- Deploy, scale, and optimize ML/NLP inference workloads (vLLM, PyTorch, GPU scheduling with various Kubernetes scalers).
- Build and improve observability: Prometheus, Grafana, Datadog,, and OpenTelemetry.
- Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments.
- Company virtual happy hours and fun team building activities and more.
Requirements
- What You'll Bring (Required):
- Proficiency in one or more of: Go, Python, Java.
Nice to have
- Experience with at least one major cloud provider (AWS preferred
Compensation
- Salary is just one component of Vectara's employee compensation.
Benefits
- 100% paid Medical, Dental, Vision for employees.
- Option of Health Savings Account (HSA) or Flexible Savings Account (FSA).
- Generous paid time off (PTO) plus paid sick time and holidays.
- Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee.
- We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Company info
- After all, we are on a mission to find meaning.
This listing is sourced directly from Vectara's careers page and normalized into a canonical job model.