{"id":35415,"url":"https://alion.io/job/doss-backend-engineer","title":"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":85,"open_postings":13,"ghost_share":0,"stale_share":0.385,"repost_share":0,"time_to_fill_p50_days":134,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"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":180000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"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":"2025-07-31T21:46:47Z","employer_posted_date":"2025-07-31","last_verified_at":"2026-10-17T20:13:27Z","board_verified":true,"closed_at":null,"days_open":442,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":442},"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\nCommunicating clearly, asking thoughtful questions, and collaborating effectively with both technical and non-technical teammates.\n\nTaking ownership of problems, and pushing work forward without needing constant direction.\n\nMaking sound technical decisions, understanding tradeoffs, and contributing meaningfully to complex discussions.\n\nBreaking down ambiguous problems, investigating root causes, designing practical solutions, and driving them through execution.\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 something of quality.\n\nPragmatic: you make the right decision based on circumstance, not theory.\n\nLow Ego: you work best in collaborative environments where everyone supports the team.\n\nWhat You'll Get\nCompetitive salary + meaningful equity\n\n100% Coverage for individuals Premium medical, dental & vision coverage\n\n401(k), immediate eligibility\n\nLunch in-office 5 days/week (and dinner when needed)\n\nFlexible/unlimited PTO\n\nCommuter (BART/MUNI/CalTrain) and equipment stipends\n\nWellness & Fitness 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