Cloud Infrastructure Engineer
Braintrust - San Francisco, United States, New York City, Seattle
Posted Apr 10, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Cloud Infrastructure Engineer San Francisco, United States, New York City, Seattle About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We're looking for a Cloud Infrastructure Engineer to help us build reliable, scalable infrastructure and give developers a world-class platform to ship code with speed and confidence. You'll lead efforts across Terraform, Kubernetes, CI/CD, observability, and support, and play a key role in how we scale Braintrust both internally and for customers self-hosting our platform. This is a high-impact role where you'll contribute across our internal AWS environment and help customers deploy our stack in AWS, Azure, and GCP. What you'll do - Build and maintain Terraform modules for both internal infrastructure and customer deployments - Work directly with customers in Slack to support self-hosting and troubleshoot infrastructure issues. Build tools to make it easier for them to support themselves. - Own and improve our CI/CD pipeline: reduce build times, improve failure visibility, and enable safer, faster releases - Centralize and scale observability - including logs, metrics, dashboards, and alerts - Partner with engineering teams to build and evolve a secure, developer-friendly infrastructure platform - Support multi-cloud deployment patterns (AWS primarily, with Azure
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