--- title: 'Platform Support Engineer (Singapore) at Braintrust' canonical: 'https://feeny.ai/job/platform-support-engineer-singapore-braintrust-singapore-2wsq5ebk88sq' type: 'job' last_seen: '2026-09-12' --- # Platform Support Engineer (Singapore) at Braintrust - **Company:** Braintrust - **Location:** Singapore - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-09 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/braintrust/5430b8aa-f294-47fa-a79a-c9ce24b4a221 ## Job description ## About the company Braintrust is the agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patterns, Braintrust gives teams the visibility to understand how agents behave in production and the tools to improve them. Teams at Notion, Stripe, Box, OpenAI, and Cloudflare use Braintrust to trace their agents, find the issues in their observability data, and run evals that tell them how to improve. ## About the role Our largest customers don't just use Braintrust — they run it. They deploy our stack inside their own AWS, Azure, and GCP accounts, behind their own VPCs, under their own compliance requirements, at their own scale. When a hybrid deployment stalls, when ingest backs up, when a query that was fast last week isn't, they come to us. Platform Support is the team that owns that. We're the technical front line for infrastructure, performance, and reliability. We're hiring Platform Support Engineers at both mid and senior levels to join a small, high-ownership team. You'll work shoulder to shoulder with our Cloud Infrastructure and Engineering teams, and alongside our Developer Support Engineers, who own the SDK and API side of the customer experience. If you like hard infrastructure problems, and you like them more when a real customer is on the other end, this is the role. ## What you'll do - 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. ## What we're looking for - 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. Bonus points for - Supporting self-hosted or on-prem enterprise software, especially in regulated environments. - Multi-cloud experience, particularly Azure or GCP alongside AWS. - Database and data-infrastructure depth — Postgres, ClickHouse, or similar analytical stores. - Experience with observability, ML infrastructure, or developer platforms. - Familiarity with LLM APIs and how teams are building and evaluating agents in production. - Having built support or diagnostic tooling that measurably reduced ticket volume. ## Why join Braintrust - Work on genuinely hard infrastructure problems, at the scale and pace of the teams building the best AI products in the world. - Join a team early enough to shape how it operates — its standards, its tooling, and its bar. - Sit close to both the customer and the code, with the mandate to fix things in either direction. ## Benefits include - Medical, dental, and vision insurance - Daily lunch, snacks, and beverages - Flexible time off - Competitive salary and equity - Wifi & cellphone stipend ## Equal opportunity Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. ## About Braintrust ## Company Overview - **One-liner**: Braintrust provides an enterprise-grade AI observability and evaluation platform that helps teams measure, evaluate, and improve AI products in production. - **Entity Type**: Private (Series B) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Ankur Goyal ## Core Business - **Primary Industry**: AI Observability & Evaluation / Software Development - **Target Customers**: B2B, primarily engineering and product teams at enterprises and digital-native companies building AI-powered products. - **Mission/Purpose**: To empower developers and product managers to ship quality AI products that work, by taking the uncertainty and tedium out of incorporating AI into businesses. ## Products & Services - **Braintrust Platform (AI Observability)**: A SaaS platform for tracing, logging, monitoring, and analyzing AI application behavior in production. It captures every trace, tool call, and log, and provides real-time dashboards for latency, cost, and quality. - **Evals (Evaluation Framework)**: A tool for running experiments against real datasets, comparing prompts and models side-by-side, and scoring outputs using LLMs, code, or human review. It helps catch regressions and block bad releases before they hit production. - **Brainstore (AI-Native Database)**: A proprietary database designed specifically for storing and querying complex, nested AI traces at scale. - **Loop Agent**: An AI agent that helps improve AI by automatically generating better prompts, scorers, and datasets based on user-defined optimization goals. - **MCP Server**: Allows coding agents to query logs, run evals, and update prompts directly from an IDE. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric (Funding)**: **$121.1 million** in total funding. - **Series B (Feb 2026)**: $80M led by ICONIQ Capital. - **Series A (Oct 2024)**: $36M with 12 investors. - **Seed Round (Dec 2023)**: $5.1M led by Greylock. - **Notable Investors/Partners**: Greylock, ICONIQ Capital. - **Growth Signals**: - **Headcount growth**: Exploded **+416.1% year-over-year** (from ~7 to 136 employees). - **Customer base**: Used by teams at high-profile companies including Notion, Stripe, Zapier, Vercel, and Ramp. - **Active hiring**: 63 active job postings, with a +215% yearly increase in job postings. - **Global presence**: Operating in 7 countries (US, UK, Canada, Germany, France, Austria, South Africa). ## Competitive Advantages - **Unified Workflow**: Connects evals and observability into a single, seamless workflow, bridging the gap between development and production monitoring. - **Purpose-Built Infrastructure**: Developed Brainstore, a database built from the ground up for the unique scale and complexity of AI traces, giving it a performance edge over traditional databases. - **Framework Agnostic**: Works with any stack (Python, TypeScript, Go, Ruby, C#) with no vendor lock-in, making it easy to adopt. - **Enterprise-Grade Security & Compliance**: SOC 2 Type II certified, GDPR compliant, and HIPAA compliant, with SSO, RBAC, and hybrid deployment options. - **Strong Talent Pool**: Employees are sourced from top-tier tech companies like Grafana Labs, MongoDB, HashiCorp, Figma, and Databricks, indicating a high-caliber team. ## Strategic Focus - **Scaling the Go-To-Market**: With a Series B led by ICONIQ Capital, Braintrust is likely focused on scaling its sales and customer success teams to capture a larger share of the enterprise AI market. - **Product Expansion**: The launch of the Loop Agent and MCP server indicates a focus on automation and developer experience, aiming to reduce manual work for AI teams. - **International Growth**: Expanding its presence in Europe and other key markets. ## Why Work Here - **High Growth Environment**: The company is in a hyper-growth phase (+416% headcount growth), offering significant opportunities for career advancement, ownership, and impact. - **Cutting-Edge Domain**: Working on a critical problem for the AI industry—observability and reliability—which is a high-priority area for many companies. - **Strong Engineering Culture**: The company is heavily technical (36% of staff in technical roles). The leadership includes a founder (Ankur Goyal) and a VP, Field CTO (Ameya Bhatawdekar), suggesting a deep technical focus. - **Culture Highlights**: The company seeks "highly independent, self-motivated, and creative people," suggesting a culture of autonomy and innovation. - **Work Policy**: Roles are listed for San Francisco, New York City, and Remote, indicating a flexible, hybrid-friendly approach. - **Notable Perks**: The company invests heavily in its security and compliance infrastructure (SOC 2, HIPAA, GDPR), which is a strong signal for employees who value building robust, enterprise-grade systems. ## Sources 1. [braintrust.dev](https://www.braintrust.dev/) 2. [braintrust.dev/careers](https://www.braintrust.dev/careers) 3. [linkedin.com/company/braintrust-data](https://www.linkedin.com/company/braintrust-data) 4. [jobs.ashbyhq.com/Braintrust](https://jobs.ashbyhq.com/Braintrust/) 5. 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