Doss

Doss

Staff Backend Engineer

San Francisco · Staff+

Sponsorship not specifiedDetected 472 days ago
RailsGitPostgreSQLElasticsearchBigQuerySnowflakeTerraformData EngineeringProcurementPlain LanguageAdaptability

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Fast time-to-value, adaptable as the business evolves.
  • We recently raised a $55M Series B https://www.doss.com/news/doss-raises-55m-series-b, co-led by Madrona and Premji Invest.
  • Participation from Intuit Ventures, Theory Ventures, General Catalyst, Contrary Capital, and Pathlight VC.

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.
  • 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

Skills

  • Procurement
  • Inventory
  • Orders
  • Fulfillment
  • Finance

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