• 3+ years building and scaling production systems. Strong across backend fundamentals (services, data models, distributed systems), with deeper expertise in one or more areas — and a desire to keep expanding your breadth over time.
• Genuine excitement to build quickly & ship fast. We care about getting things into users' hands and iterating from there.
• Experience with cloud infrastructure, containerization, and CI/CD. Familiarity with AWS/GCP, containerization (Docker/K8s), and CI/CD pipelines.
• TECHNICAL AREAS WHERE DEPTH MATTERS (ONE OR MORE)
• Data Engineering: Spark, Kafka, Flink, BigQuery, streaming pipelines, ETL at scale.
• Distributed Systems: High-volume scaling, fault tolerance, eventual consistency.
• AI/ML: LLMs in production, RAG, embeddings, fine-tuning, inference optimization.
• Backend: Python, TypeScript, PostgreSQL, high-concurrency systems.