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Doss

Staff Backend Engineer

San FranciscoOnsite · United States
Staff · FullTime · Engineering
POSTED 8 JUL 2025VERIFIED 1D AGO
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Role
491 days opentrue age
Posted 8 Jul 2025
Payats field
$230k–260kposted
▲ +2% vs market median $240k
$214k$260k
Market p25–p75
$223k–$260k
Doss p25–p75
$214k–$245kn=4
H-1B median · Backend
$215k
SF Bay Area · n=91 · 365d to 10 Nov
CompanyDoss →
20open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
1,302open · Staff Backend
Opened · 7d
+957% of open
All backend
8,285open
All tracked boards · live 11 Nov · n=1,302
Visa
12H-1B LCAs · FY26
Median wage
$203k
LCAs FY26 · n=12 · to 2026-06-26
Ruby/RailsPostgreSQLElasticsearchTerraformSnowflake

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.

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.

Source · DossFirst seen 2 NovOriginal ↗