Backend Engineer

We’re building the “Terraform for operators” — an AI‑generated schema layer driving a white‑labeled data warehouse that lets physical‑goods companies evolve their systems of record as fast as their business operations change.

Think AI foundation models driving schema migrations, real‑time observability across ops/finance data, complex git versioning of schema and data changes, and workflows you compose like infrastructure code.

Design the core EAV data model & schema‑as‑code platform that powers every customer’s instance, balancing extreme flexibility with transactional integrity.

Build a Git‑style version‑control + migration engine capable of rolling forward/back complex schema and data changes on live production tenants in enterprise settings.

Engineer AI‑assisted tooling that uses foundation models to propose, validate, and apply new customer schemas and workflow definitions.

Scale our white‑labeled data warehouse (BigQuery/Snowflake‐like) for high‑volume, low‑latency analytics and automation workloads.

Create Terraform‑like declarative APIs & SDKs so ops teams can treat business processes as code while you ensure security, tenancy, and performance.

Deliver end‑to‑end observability & search across supply‑chain, finance, and ops data—surfacing business logic in plain language through AI‐native search.

Build Enterprise guard rails into a composable system to proactively detect anomalous behavior or risky emergent patterns

Mentor and shape engineering culture, partnering with product and design to turn unsexy back‑office pain into elegant, resilient systems loved by operators.

Expertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc