Software Engineer, Backend
Braintrust•Seattle, WA
About The Position
We’re looking for a backend engineer who’s excited to build the infrastructure behind cutting-edge AI development tools. Under the hood, Braintrust is a real-time, high-availability data platform that operates in both SaaS and self-hosted environments. You’ll help scale our ingestion pipelines, evolve our open source libraries, and ensure everything runs reliably, observably, and fast. If you thrive in a fast-paced environment and enjoy solving hard systems problems with a product mindset, we’d love to work with you.
Requirements
- 5+ years of backend engineering experience across multiple parts of the stack
- Strong systems thinking: you’ve owned or contributed to infrastructure projects and know how to design for scale, uptime, and data integrity
- Proficient in modern backend technologies (e.g., Node.js, Go, Python, Rust, Postgres, Redis, Terraform, Docker, AWS)
- Experience with observability tooling (e.g., Grafana, Prometheus, Datadog, or similar) and a passion for making systems operable, available and rock solid.
- Comfortable with ambiguous problems and excited to partner across the company to ship impactful work
- Clear communicator who documents decisions, shares context, and helps lift the team
Responsibilities
- Design and ship features that give users deep insight into their LLM usage and performance.
- Build from scratch the unifying layer that proxies, caches, and normalizes calls across OpenAI, Anthropic, Gemini, and every other provider our customers depend on.
- Develop and evolve robust, efficient open source libraries for tracing and evaluating LLM calls inside customer applications.
- Build highly available real-time data pipelines to ingest, store, and query large volumes of structured and semi-structured AI usage data.
- Collaborate closely with our product engineers to ship polished, end-to-end features that solve real problems for our customers, such as: Bundling and uploading javascript and python code snippets to be used as online, on-demand function calls for LLM workflows.
- Support for parsing and uploading attachments from LLM multimodal outputs into long term storage.
- Role-based access controls and data retention policies for enterprise use cases.
Benefits
- Medical, dental, and vision insurance
- Daily lunch, snacks, and beverages
- Flexible time off
- Competitive salary and equity
- Wifi & cellphone stipend
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
