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Backend Engineer at doss | San Francisco

dossSan Francisco
On-site Full-time

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Experience Level

Experience

Qualifications

Strong programming skills in languages such as Python, Java, or Go. Experience with cloud platforms like AWS, GCP, or Azure. Knowledge of data modeling and database design principles.

About the job

Who We Are

At doss, we are pioneering the next generation of data management with our innovative AI-driven schema layer, designed specifically for physical-goods companies. Our platform acts as the 'Terraform for operators,' enabling businesses to adapt their systems of record swiftly in response to changes in their operations.

Imagine leveraging AI foundation models for seamless schema migrations, achieving real-time observability across operational and financial data, and utilizing sophisticated git versioning for both schema and data modifications, all while composing workflows akin to infrastructure code.

Your Role

  • Design and develop the foundational EAV data model and schema-as-code platform that underpins every customer instance, ensuring a perfect balance between flexibility and transactional integrity.

  • Construct a Git-style version control and migration engine capable of executing complex schema and data changes on live production environments for enterprise clients.

  • Create AI-enhanced tooling that leverages foundation models to propose, validate, and implement new customer schemas and workflow definitions.

  • Scale our white-labeled data warehouse (similar to BigQuery or Snowflake) to handle high-volume, low-latency analytics and automation tasks.

  • Develop Terraform-like declarative APIs and SDKs to allow operations teams to manage business processes as code while ensuring security, tenancy, and performance.

  • Provide end-to-end observability and searchable insights across supply chain, finance, and operational data, highlighting business logic in user-friendly language through AI-native search capabilities.

  • Implement Enterprise guardrails within a composable system to preemptively identify anomalies or risky patterns.

  • Foster a collaborative engineering culture, working closely with product and design teams to transform traditional back-office challenges into elegant, resilient systems that operators admire.

Your Skills

  • Proficiency in building large-scale ETL processes using databases such as Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc.

  • Experience utilizing cloud services for the development and deployment of reliable web applications.

  • Ability to work with abstractions to create scalable and complex graph-based architectures.

About You

  • Team-oriented: You bring enthusiasm, openness, and inquisitiveness to the team every day.

  • Innovative thinker: You thrive on developing creative solutions to complex problems.

  • Detail-oriented: You possess a keen eye for detail and a passion for delivering high-quality work.

About doss

doss is at the forefront of transforming data management for physical-goods companies. Our AI-generated schema layer empowers businesses to quickly adapt their data systems as operational demands shift, paving the way for enhanced efficiency and scalability.

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