Backend Engineer, Foundations

What we're looking for

We need a backend engineer with 3+ years of experience building production backend systems who can own the graph infrastructure and data pipelines at the core of Equall's platform. You should be comfortable working in a fast-paced, seed-stage environment (expect 70-80 hour weeks, 5 days in office) and have a strong perspective on data, databases, and system design. Bonus points if you have experience with graph databases like Neo4j, SRE/infrastructure work, or cloud-native multi-cloud environments.

What you'll do

• Design, build, and scale the knowledge graph infrastructure and data pipelines that turn unstructured legal documents into structured, queryable legal ground truth
• Architect and implement public-facing APIs that internal services, agentic systems, and customers rely on
• Build DAG-based processing workflows on Prefect for extracting, transforming, and reconciling legal data from source documents
• Scale the platform to handle rapidly growing data volumes — processing thousands of documents per data room with 5-10x growth expected in the coming months
• Operate and maintain services on Kubernetes — deployment, observability, and performance tuning
• Partner with AI researchers and engineers to integrate agentic systems into production workflows
• Help establish strong engineering foundations and standards as the backend team scales, ensuring systems remain available, durable, and secure for enterprise law firm customers with strict tenant isolation requirements
• Shape the data layer architecture — scaling reads and writes on the graph, managing Postgres and Redis for application data and caching