{"id":35421,"url":"https://alion.io/job/doss-senior-backend-engineer","title":"Senior Backend Engineer","company":{"id":2029490,"name":"DOSS","domain":"doss.com","url":"https://alion.io/company/doss-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":15,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":210000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"DuckDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"GraphDB","optional":false},{"name":"Memgraph","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2024-04-25T21:46:17Z","employer_posted_date":"2024-04-25","last_verified_at":"2026-10-16T16:08:46Z","board_verified":true,"closed_at":null,"days_open":903,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":903},"description":"About Doss\nDOSS is building an Operations Cloud for the real world.\nA modern, AI-native platform for physical product businesses to manage the flow of goods, dollars, and data in real time, across:\nProcurement\n\nInventory\n\nOrders\n\nFulfillment\n\nFinance\n\nBuilt to replace spreadsheet chaos and rigid, consultant-heavy ERPs. Fast time-to-value, adaptable as the business evolves.\nThrough our Adaptive Resource Platform (ARP) and unified operational data model, teams deploy quickly, automate workflows, and make changes without months of re-implementation.\nWe 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.\nDOSS is trusted by fast-growing operators to run critical operations with speed, control, and confidence.\nAbout the Role\nWhat You'll do\nDesign the core EAV data model & schema-as-code platform that powers every customer’s instance, balancing extreme flexibility with transactional integrity.\n\nBuild a Git-style version-control + migration engine capable of rolling forward/back complex schema and data changes on live production tenants in enterprise settings.\n\nEngineer AI-assisted tooling that uses foundation models to propose, validate, and apply new customer schemas and workflow definitions.\n\nScale our white-labeled data warehouse (BigQuery/Snowflake-like) for high-volume, low-latency analytics and automation workloads.\n\nCreate Terraform-like declarative APIs & SDKs so ops teams can treat business processes as code while you ensure security, tenancy, and performance.\n\nDeliver end-to-end observability & search across supply-chain, finance, and ops data-surfacing business logic in plain language through AI-native search.\n\nBuild Enterprise guard rails into a composable system to proactively detect anomalous behavior or risky emergent patterns\n\nMentor and shape engineering culture, partnering with product and design to turn unsexy back-office pain into elegant, resilient systems loved by operators.\n\nWhat We're Looking For\nExperience\nExpertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc\n\nUsing cloud services to build + deploy reliable web applications\n\nWorking in abstractions to build complex graph-based architectures that scale\n\nQualities\nTeam player: you bring positivity, openness, and curiosity to the team every day.\n\nGrowth mindset: everything is an opportunity to learn and improve yourself, the team, and the company.\n\nCraftsmanship: you care about making 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