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Backend Engineer

DOSS · San Francisco

Extracted from the posting

Base
$180,000 – $210,000
Remote
On-site
Funding
$55M Series B, co-led by Madrona and Premji Invest
Stack
PostgreSQL, Elasticsearch, DuckDB, Memgraph

Designs the core EAV data model and schema-as-code platform for DOSS's Operations Cloud, plus a Git-style version-control and migration engine for live enterprise tenants. Also covers AI-assisted schema tooling, a white-labeled data warehouse, and Terraform-like declarative APIs and SDKs. Stack includes Postgres, Elasticsearch, DuckDB, Memgraph, BigQuery/Snowflake-like warehousing, and cloud services.

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
  • Communicating clearly, asking thoughtful questions, and collaborating effectively with both technical and non-technical teammates.
  • Taking ownership of problems, and pushing work forward without needing constant direction.
  • Making sound technical decisions, understanding tradeoffs, and contributing meaningfully to complex discussions.
  • Breaking down ambiguous problems, investigating root causes, designing practical solutions, and driving them through execution.

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.



Compensation: $180K - $210K

Technologies

PostgreSQLElasticsearchDuckDBMemgraphBigQuerySnowflakeTerraform
DOSS
DOSS
Website

Job details

TypeFull-time
Work ModeOn-site
LevelMid Level
Location🇺🇸San Francisco, CA
Salary$180,000 - $210,000
PostedNov 05, 2026
Apply Now

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