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Staff Platform Engineer

DOSS.COM - San Francisco, CA, United States - In-office - posted 2026-10-01

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DOSS is building an operations cloud for physical product businesses—a modern, AI-native platform to manage procurement, inventory, orders, fulfillment, and finance in real time. The company recently raised $55M in Series B funding and is trusted by fast-growing operators to replace spreadsheet chaos and rigid ERPs with adaptable, fast-to-deploy solutions. As Staff Platform Engineer, you will design and own the core technical infrastructure that powers the platform: **Core Responsibilities:** - Design the EAV (Entity-Attribute-Value) data model and schema-as-code platform that powers every customer instance, balancing extreme flexibility with transactional integrity. - Build a Git-style version-control and migration engine capable of rolling forward and backward 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 the white-labeled data warehouse (BigQuery/Snowflake-like) for high-volume, low-latency analytics and automation workloads. - Create Terraform-like declarative APIs and SDKs so operations teams can treat business processes as code while ensuring security, tenancy, and performance. - Deliver end-to-end observability and search across supply-chain, finance, and operations data, surfacing business logic in plain language through AI-native search. - Build enterprise guardrails 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 back-office pain into elegant, resilient systems. This is a high-impact technical leadership role where you'll own platform architecture decisions, guide the team through complex systems challenges, and directly influence how customers experience the product. **Requirements:** - Expertise building large-scale ETL on databases such as Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), or similar. - Proven experience using cloud services to build and deploy reliable web applications. - Strong background working in abstractions to build complex graph-based architectures that scale. - Team player with positivity, openness, and curiosity. - Growth mindset and commitment to continuous learning and improvement. - Craftsmanship and attention to quality. - Pragmatic decision-making based on circumstance. - Collaborative, low-ego approach to work.

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