Backend Engineer
At a glance
Mid-level Backend Engineering role at DOSS. San Francisco · full-time · $180,000–$210,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Design a flexible EAV model and schema-as-code platform while preserving reliable transactions for each customer
- Build versioning and migration tools that safely move live enterprise tenants through complex schema and data changes
- Develop AI tools that suggest, check and apply customer schemas and workflow definitions
- Scale the customer-facing warehouse for fast analytics and automation, and create declarative APIs and SDKs for business processes
- Add observability, search and safeguards across operational data, while mentoring engineers and working with product and design
What you bring
- You have built large-scale ETL using databases such as Postgres, Elasticsearch or another listed database
- You have used cloud services to build and deploy dependable web applications
- You can design complex graph-based architectures using abstractions that scale
Who this fits
This mid-level, full-time role suits a backend engineer who can take ownership, reason through technical tradeoffs and work through ambiguous problems. You'll collaborate with technical and non-technical teammates, partner with product and design, and mentor engineers. The role is onsite in San Francisco.
From the employer
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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Backend Engineering$180k+
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