AfterQuery
Senior Software Engineer - Infrastructure
San Francisco · Senior
Sponsorship not specifiedDetected 136 days ago
JavaScriptPythonNext.jsNode.jsDistributed SystemsAWSGCPCloud PlatformsKafkaRabbitMQMachine LearningData EngineeringLLMsAI OrchestrationA/B TestingDesign SystemsValuationResearch
About the role
- You will be responsible for the shared platforms that enable our engineers and research teams to run large-scale human-in-the-loop workflows, evaluation harnesses, and automated data pipelines used to train frontier AI models.
- This is a highly technical role with broad ownership.
- We were one of the fastest-growing YC companies in our batch, and we believe we can become one of the fastest-growing YC companies of all time.
Responsibilities
- Design and build core infrastructure systems
- Architect and develop the shared infrastructure powering our data generation platforms, human-in-the-loop systems, and evaluation pipelines.
- Develop scalable distributed systems
- Build systems capable of processing large-scale datasets and high-throughput workloads with strong reliability guarantees.
- Build internal platforms and shared services
- Create reusable infrastructure and APIs that enable product engineers and researchers to build quickly and reliably on top of core systems.
- Optimize performance and reliability
- Design systems with strong observability, monitoring, and fault tolerance to support production workloads at scale.
- Own infrastructure architecture
- Collaborate across engineering and research
Requirements
- Proficiency in Python and/or JavaScript (Node.js / Next.js) or similar backend technologies
- Experience designing and operating systems in cloud environments (GCP or AWS)
- Experience with message queues and event-driven systems (Kafka, RabbitMQ, Pub/Sub, etc.)
- Experience working with high-throughput data pipelines and asynchronous processing systems
- Strong understanding of system scalability, performance, and reliability
- Experience owning systems running in production environments
Nice to have
- Experience supporting large-scale data processing pipelines
- Experience with AI infrastructure, LLM evaluation systems, or ML pipelines
- Experience working at high-growth startups or scaling early infrastructure
- Experience designing human-in-the-loop or workflow orchestration systems
Compensation
- Competitive salary and meaningful equity.
Benefits
- Competitive salary and meaningful equity.
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