Related skills
distributed systems apis observability llms slos📋 Description
- Own and evolve core experimentation service, automating setup, config, and validation.
- Design and maintain API-first orchestration layers across experimentation and content delivery.
- Build and integrate LLM-driven workflows into production infrastructure (planner, generator, validator).
- Define and uphold SLOs/SLAs for experimentation infra to improve reliability.
- Partner with content, feature, and platform teams to scale automated experimentation across surfaces.
- Identify, diagnose, and resolve bottlenecks in experiment orchestration for fast workflows.
🎯 Requirements
- Experience building and operating large-scale backend systems for high-traffic apps.
- Comfortable using AI-assisted tools to develop high-quality software.
- Experience with distributed systems, APIs, and SOA.
- Design systems for performance, scalability, and reliability.
- Product-minded engineer at the intersection of infrastructure, AI, and experimentation.
- Experience translating architectures into scalable, production-ready code.
🎁 Benefits
- Health insurance
- Six month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
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