Staff Backend Engineer at Doss

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Supply Chain, Finance, OperationsIndustries

Requirements

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
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

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
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

Skills

Key technologies and capabilities for this role

PostgresElasticsearchDuckDBMemgraphETLBigQuerySnowflakeGitTerraformGraph DBSchema MigrationObservabilityAI ToolingFoundation Models

Questions & Answers

Common questions about this position

What is the salary range for this Staff Backend Engineer role?

The salary range for this role is $200k-$300k, with a strong equity component as employees building Doss deserve ownership.

What is the location or remote policy for this position?

This information is not specified in the job description.

What key skills are required for this role?

Expertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph, using cloud services to build reliable web applications, and working in abstractions to build complex graph-based architectures that scale.

What benefits does Doss offer?

Benefits include premium comprehensive medical, dental, and vision insurance, unlimited PTO and mandatory US Holidays, 401(k) with immediate eligibility, fitness, commuter, and equipment stipends, premier office space with snacks and drinks, lunch catered 4 days per week, and relocation assistance.

What personal qualities make a strong candidate for this role?

Strong candidates are team players bringing positivity, openness, and curiosity; have a growth mindset; demonstrate craftsmanship in quality work; are pragmatic in decision-making; and low ego, thriving in collaborative environments.

Doss

AI-driven enterprise software for operations

About Doss

Doss offers the Doss Adaptive Resource Platform (ARP), which combines traditional Enterprise Resource Planning (ERP) systems with artificial intelligence (AI) and machine learning (ML) to help mid-sized to large enterprises streamline their operations. The platform is designed for industries like retail, manufacturing, and logistics, allowing for efficient inventory management and seamless integration with existing systems. Doss stands out by providing a much faster onboarding process compared to traditional ERP systems, which can take up to 18 months to implement. The company operates on a subscription model, offering unlimited users and features for a monthly fee, aiming to enhance operational efficiency and support business growth.

San Francisco, CA, USAHeadquarters

2022Year Founded

VENTURE_UNKNOWNCompany Stage

Enterprise Software, AI & Machine LearningIndustries

11-50Employees