Doss

Doss

Backend Engineer

San Francisco

Sponsorship not specifiedDetected 355 days ago
RailsGitPostgreSQLElasticsearchBigQuerySnowflakeTerraformData EngineeringProcurementAdaptability

About the role

  • 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:

Responsibilities

  • 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.
  • 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.

Skills

  • Procurement
  • Inventory
  • Orders
  • Fulfillment
  • Finance

Compensation

  • Competitive salary + meaningful equity

Benefits

  • Competitive salary + meaningful equity
  • 100% Coverage for individuals Premium medical, dental & vision coverage
  • Flexible/unlimited PTO
  • Commuter (BART/MUNI/CalTrain) and equipment stipends
  • Wellness & Fitness stipend
  • Generous parental leave

Company info

  • everything is an opportunity to learn and improve yourself, the team, and the company.

This listing is sourced directly from Doss's careers page and normalized into a canonical job model.