
Platform Support Engineer
Posted 18 hours ago

Posted 18 hours ago
This is a fully remote position, open to applicants in Singapore.
• Lead customer-facing support for hybrid and self-hosted Braintrust implementations across AWS, Azure, and GCP from the initial installation to steady-state operations.
• Troubleshoot Kubernetes workloads, Terraform state, networking and VPC setups, IAM and permissions, TLS, and cloud provider-related issues.
• Identify backend performance and reliability challenges related to ingest throughput, query latency, databases, and object storage through logs, metrics, and traces.
• Oversee incident response for issues impacting customers, including triage, communication, and resolution processes.
• Propose fixes for backend services, Terraform modules, and deployment tools.
• Develop diagnostics, health checks, preflight validations, and self-service tools.
• Document and maintain runbooks and deployment procedures.
• Relay recurring failure trends to Engineering and Product teams.
• Engage in an on-call rotation for critical customer concerns.
• Work closely with Cloud Infrastructure, Engineering, and Developer Support teams.
• Experience in a technical customer-facing role such as Support Engineering, SRE, DevOps, Solutions Architecture, or Infrastructure Engineering, or backend/infra engineering experience with a passion for customer interaction.
• Solid understanding of Kubernetes, including deployment, debugging, and scaling workloads, as well as interpreting pod events and logs.
• Practical experience with Terraform.
• Proficiency in at least one major cloud platform, with a strong preference for AWS.
• Familiarity with backend codebases in Python, TypeScript, or Go sufficient to reproduce, trace, and resolve bugs.
• Proficient in using observability tools.
• Ability to communicate clearly, calmly, and directly under pressure.
• Demonstrated ownership and follow-through on customer issues.
• Participation in an on-call rotation for critical customer matters.
• Bonus: experience in supporting self-hosted or on-premises enterprise software, particularly within regulated environments.
• Bonus: multi-cloud experience, especially with Azure or GCP in addition to AWS.
• Bonus: experience with databases and data infrastructure, particularly with Postgres, ClickHouse, or similar analytical storage solutions.
• Bonus: experience with observability, ML infrastructure, or developer platforms.
• Bonus: familiarity with LLM APIs and building and evaluating production agents.
• Bonus: experience in creating support or diagnostic tools that have reduced ticket volume.
• Medical, dental, and vision insurance.
• Daily lunch, snacks, and beverages.
• Flexible time off.
• Competitive salary and equity.
• Wifi and cellphone stipend.
• Immigration and sponsorship support may be provided based on unique circumstances.
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