Doss

Staff Backend Engineer

San Francisco · Staff+

Sponsorship not specifiedDetected 379 days ago

RailsGitPostgreSQLElasticsearchBigQuerySnowflakeTerraformData EngineeringProcurementAdaptability

About the role

Fast time-to-value, adaptable as the business evolves.
We recently raised a $55M Series B https://www.doss.com/news/doss-raises-55m-series-b, co-led by Madrona and Premji Invest.
Participation from Intuit Ventures, Theory Ventures, General Catalyst, Contrary Capital, and Pathlight VC.

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.
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
Using cloud services to build + deploy reliable web applications
Working in abstractions to build complex graph-based architectures that scale

everything is an opportunity to learn and improve yourself, the team, and the company.

This listing is sourced directly from Doss's careers page and normalized into a canonical job model.