Senior Backend Engineer
Doss · San Francisco
About this role
## Senior Backend Engineer ### About DOSS DOSS is building an **operations cloud for the real world**—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 We’re building to replace spreadsheet chaos and rigid, consultant-heavy ERPs, with **fast time-to-value** and an approach that adapts as the business evolves. Using our **Adaptive Resource Platform (ARP)** and a unified operational data model, teams can 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). Learn more: https://www.doss.com/news/doss-raises-55m-series-b ### About the Role — What You’ll Do - Design the core **EAV data model** & **schema-as-code** platform that powers every customer’s instance, balancing flexibility with transactional integrity. - Build a **Git-style version-control + migration engine** to roll forward/back complex schema and data changes on live production tenants. - Engineer **AI-assisted tooling** using 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 detect anomalous behavior or risky emergent patterns. - Mentor and shape engineering culture—partnering with product and design to turn back-office pain into elegant, resilient systems operators love. ### What We’re Looking For **Experience** - Expertise building large-scale **ETL** on databases like **Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB)**, etc. - Using cloud services to build and deploy reliable web applications. - Working in abstractions to build complex **graph-based architectures** that scale. **Qualities** - **Team player**: positivity, openness, curiosity. - **Growth mindset**: continuous learning and improvement. - **Craftsmanship**: care about quality. - **Pragmatic**: make the right decision based on circumstance. - **Low ego**: thrive in collaborative environments where everyone supports the team.
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