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# Backend Engineer

- **Company:** DOSS INC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, BigQuery, Catalyst (Software), Spreadsheets, Databases, Extract Transform Load (ETL), Data Warehousing, Elasticsearch, PostgreSQL, Operational Data Store, Cloud Services, Web Applications, Snowflake, Terraform
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-backend-engineer-doss-8142443

## About the Role

* 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

Qualities

 * Team player: you bring positivity, openness, and curiosity to the team every day.
 * Growth mindset: everything is an opportunity to learn and improve yourself, the team, and the company.
 * Craftsmanship: you care about making something of quality.
 * Pragmatic: you make the right decision based on circumstance, not theory.
 * Low Ego: you work best in collaborative environments where everyone supports the team.

## Description

A modern, AI-native platform for physical product businesses to manage the flow of goods, dollars, and data in real time, across:

 * Procurement
 * Inventory
 * Orders
 * Fulfillment
 * Finance

Built to replace spreadsheet chaos and rigid, consultant-heavy ERPs. Fast time-to-value, adaptable as the business evolves.

Through our Adaptive Resource Platform (ARP) and unified operational data model, teams deploy quickly, automate workflows, and make changes without months of re-implementation.

We recently raised a $55M Series B, co-led by Madrona and Premji Invest. Participation from Intuit Ventures, Theory Ventures, General Catalyst, Contrary Capital, and Pathlight VC.

DOSS is trusted by fast-growing operators to run critical operations with speed, control, and confidence., * 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.


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