B

Braintrust

Enterprise AI development platform with evaluations

Platform Support Engineer

Site Reliability Engineering +1Confirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • Experience in a customer-facing technical role such as Support Engineering, Site Reliability Engineering, DevOps, Solutions Architecture, or Infrastructure Engineering, or backend/infrastructure engineering experience with interest in customer work.
  • Strong Kubernetes fundamentals, including deploying, debugging, and scaling workloads and interpreting pod events and logs.
  • Hands-on Terraform experience and depth in at least one major cloud platform; AWS is strongly preferred.
  • Comfort working in a backend codebase using Python, TypeScript, or Go to reproduce, trace, and fix bugs.
  • Fluency with observability tooling and data-informed troubleshooting.
  • Clear, calm, direct communication under pressure, especially with technical customers who are blocked.
  • Ownership and follow-through to resolve customer problems.

Responsibilities

  • Own customer-facing support for hybrid and self-hosted Braintrust deployments across AWS, Azure, and GCP, from installation through steady-state operation.
  • Debug infrastructure problems involving Kubernetes workloads, Terraform state, networking and VPC configuration, IAM and permissions, TLS, and cloud-provider behavior.
  • Diagnose backend performance and reliability issues involving ingest throughput, query latency, databases, and object stores using logs, metrics, and traces to identify root causes.
  • Lead incident response for customer-impacting issues by triaging, communicating during incidents, and driving issues to resolution.
  • Submit fixes to backend services, Terraform modules, and deployment tooling rather than handing every problem off to Engineering.
  • Build diagnostics, health checks, preflight validation, and self-service tooling to help customers resolve issues.
  • Write and maintain runbooks and deployment documentation.
  • Share recurring patterns with Engineering and Product to prevent repeated failure modes.
  • Participate in an on-call rotation for critical customer issues.

Desired Qualifications

  • Experience supporting self-hosted or on-premises enterprise software, especially in regulated environments.
  • Multi-cloud experience, particularly Azure or GCP alongside AWS.
  • Database and data-infrastructure experience with Postgres, ClickHouse, or similar analytical data stores.
  • Experience with observability, machine-learning infrastructure, or developer platforms.
  • Familiarity with large language model APIs and how teams build and evaluate agents in production.
  • Experience building support or diagnostic tooling that measurably reduced ticket volume.

About the Company

Braintrust

Enterprise AI development platform with evaluations

Preparing a concise, high-school-friendly company summary for BrainTrust based on the provided description.

Company size
51-200
Company stage
Series B
Total funding
$121.1M
Headquarters
San Francisco, CA
Founded
2023

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