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Doss

Backend Engineer

  • Seen live on Doss' site today
  • Mid level
Pay
$180k to $210k a year USD
Location
San Francisco
Open for
11+ days
First seen
Oct 24, 2026

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Doss' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Doss, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What the posting discloses

Pay
$180k to $210k a year USD

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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.

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