Senior Backend Engineer
At a glance
Senior Backend Engineering role at DOSS. San Francisco · full-time · $210,000–$230,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Design flexible customer data schemas that preserve reliable transactions across each instance
- Build a versioning and migration system for safely changing live customer schemas and data
- Create AI-supported tools that draft, check and apply customer schemas and workflow definitions
- Scale the customer-facing warehouse for fast analytics and automation across large workloads
- Develop declarative APIs and SDKs, adding security, tenant separation and performance safeguards
What you bring
- You have built large-scale ETL using databases such as Postgres, Elasticsearch or another listed system
- You have used cloud services to build and deploy dependable web applications
- You have worked with abstractions to create graph-based architectures that can scale
Who this fits
This senior role suits a collaborative engineer who values quality, stays open to learning and makes practical tradeoffs. You’ll work onsite in San Francisco and mentor others while partnering with product and design.
From the employer
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
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.
About the Role
What You'll do
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.
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 + 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.
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Backend Engineering$210k+
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