Platform Support Engineer
Hybrid (San Francisco), Hybrid (New York City), Hybrid (Seattle)Full-timePosted 1mo ago
About the role
Platform Support Engineers own customer-facing support for hybrid and self-hosted Braintrust deployments across AWS, Azure, and GCP, from first install through steady-state operation. They debug infrastructure problems, diagnose backend performance issues, lead incident response, ship fixes, build diagnostics tooling, maintain runbooks, feed patterns back to Engineering, and participate in on-call rotations.
Responsibilities
- Own customer-facing support for hybrid and self-hosted Braintrust deployments across AWS, Azure, and GCP — from first install through steady-state operation.
- Debug real infrastructure problems: Kubernetes workloads, Terraform state, networking and VPC configuration, IAM and permissions, TLS, and cloud-provider quirks.
- Diagnose performance and reliability issues in the backend — ingest throughput, query latency, database and object-store behavior — using logs, metrics, and traces to get to cause rather than symptom.
- Lead incident response for customer-impacting issues: triage, communicate clearly while it's still on fire, and drive it to resolution.
- Ship fixes. Submit PRs to our backend services, Terraform modules, and deployment tooling rather than handing every problem to Engineering.
- Build the tooling that makes the next one easier — diagnostics, health checks, preflight validation, and self-service paths that let customers unblock themselves.
- Write and maintain the runbooks and deployment documentation that turn one hard-won answer into a permanent one.
- Feed patterns back to Engineering and Product, so the recurring failure modes stop recurring.
- Participate in an on-call rotation for critical customer issues.
Qualifications
- Experience in a customer-facing technical role — Support Engineering, SRE, DevOps, Solutions Architecture, or Infrastructure Engineering — or backend/infra engineering experience with real appetite for customer work.
- Strong Kubernetes fundamentals: you can deploy, debug, and scale actual workloads, and read a failing pod's story from its events and logs.
- Hands-on Terraform, and depth in at least one major cloud (AWS strongly preferred).
- Comfort in a backend codebase — Python, TypeScript, or Go — enough to reproduce a bug, trace it to its source, and fix it.
- Fluency with observability tooling, and the instinct to reach for data before opinion.
- Clear, calm, direct communication under pressure, especially when the customer is technical, blocked, and losing time.
- Ownership. You take a problem personally and follow it until the customer is running again.
Skills
Required:KubernetesTerraformCloud platforms (AWS, Azure, GCP)Backend programmingObservability toolingCommunication
Benefits
- Medical, dental, and vision insurance
- Daily lunch, snacks, and beverages
- Flexible time off
- Competitive salary and equity
- Wifi & cellphone stipend
Last updated Sep 13, 2026. Interested? Apply on the company site.
About Braintrust
Ship quality AI at scale
Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users.
AI debuggingAI development platformAI evaluationAI evaluation frameworkAI monitoringAI observabilityAI performance testingAI testing
More open roles at Braintrust
- Detection and Response EngineeryesterdaySan Francisco, New York City +1 more · Engineering
- Technical RecruiteryesterdaySan Francisco, New York City · People
- Software Engineer, Billing1w agoSan Francisco, New York City +1 more · Engineering
- Enterprise Account Executive (Central Region)1w agoRemote · GTM
- Sales Development Representative2w agoHybrid (London) · GTM