Staff Backend Engineer

Sellryt โ€” United States ยท Posted ~21 hours ago

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Description

Requirement:- Strong backend engineering evidence in Python, Go, Java, Rust, or similar production languages.Has shipped production backend systems, infra, data pipelines, workflow engines, integration platforms, or high-correctness systems.Can own ambiguous systems end-to-end without waiting for a detailed spec.Built internal platforms that multiplied output across multiple product pods.Designed abstractions for agents, workflow orchestration, retrieval/context, evals, observability, or developer tooling.Experience with financial systems, accounting workflows, audit/compliance, ERP integrations, or fintech infrastructure.High-agency early-stage builder who spots bottlenecks and ships the abstraction without waiting for a spec. Preffered Finance/accounting domain: close, revenue recognition, cash, reporting, audit, controls, tax, payroll, or treasury.ERP, bank, billing, payroll, CRM, contract, spreadsheet, email, or Slack integrations.Production AI agents, context engineering, retrieval, evals, verification, or guardrail systems.Experience with observability, replay, lineage, permissions, and audit-grade systems. Strong fit Prior experience at AI/data/platform companies: Distyl, Databricks, Snowflake, Replit, Glean, Eightfold AI, Decagon, Datadog, Notion, Sierra, Palantir, Cohesity, Nutanix, Wisdom AI.Prior experience at fintech or business-system companies: Ramp, Brex, Stripe, Rippling, Kalshi, Robinhood, Plaid, Block, Bloomberg, Nirvana Insurance.Prior experience at strong product/platform companies: Vercel, Atlassian, Docker, Roblox, HubSpot, Spotify, Asana, Pinterest, Figma, Shopify.Prior experience at frontier AI/autonomy/big-tech companies: Tesla, xAI, Waymo, Cruise, Meta, Google, Netflix, X (Twitter), Uber, Lyft, NVIDIA, OpenAI, Anthropic, Cohere, Thinking Machines, MidJourney, Mercor., payroll, CRM, contract, spreadsheet, email, or Slack integrations.Production AI agents, context engineering, retrieval, evals, verification, or guardrail systems.Experience with observability, replay, lineage, permissions, and audit-grade systems.I