DOSS

Staff Backend Engineer

DOSS
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1 year ago

Base Salary

$200k - $300k/yr

Responsibilities

  • Design the core EAV data model and schema-as-code platform while balancing flexibility with transactional integrity.
  • Build Git-style version control and migration systems for complex schema and data changes on live production tenants.
  • Develop AI-assisted tooling using foundation models to propose, validate, and apply customer schemas and workflow definitions.
  • Scale a white-labeled data warehouse for high-volume, low-latency analytics and automation workloads.
  • Create Terraform-like declarative APIs and SDKs with strong security, tenancy, and performance characteristics.
  • Deliver observability and search across supply-chain, finance, and operations data, including AI-native plain-language search.
  • Build enterprise guardrails that detect anomalous behavior and risky emergent patterns.
  • Mentor engineers, shape engineering culture, and partner with product and design.

Requirements

  • Expertise building large-scale ETL with databases such as Postgres, Elasticsearch, DuckDB, and Memgraph.
  • Experience using cloud services to build and deploy reliable web applications.
  • Experience working with abstractions and building complex graph-based architectures that scale.
  • Collaborative, curious, pragmatic, quality-focused, and low-ego approach.

Benefits

  • 100% individual premium medical, dental, and vision coverage
  • 401(k) with immediate eligibility
  • Lunch provided in-office five days per week, with dinner when needed
  • Flexible/unlimited PTO
  • Commuter stipends for BART, MUNI, and CalTrain
  • Equipment stipends
  • Wellness and fitness stipend
  • Generous parental leave
  • Relocation assistance available
  • In-office work culture in San Francisco

Tech Stack

ElasticsearchGoogle BigQueryPostgreSQLSnowflakeTerraform

Categories

AI ApplicationsBackendData Engineering
DOSS

About DOSS

51-200 employees

DOSS builds an AI-native Operations Cloud for physical product companies, unifying procurement, inventory, orders, fulfillment, and finance in real time. Its subscription platform replaces spreadsheet-based processes and heavyweight ERP implementations with an adaptive data model and workflow automation that teams can deploy quickly. Privately held and headquartered in San Francisco, the company serves consumer and omnichannel brands and has raised a Series B round to scale its product and go-to-market.

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