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