Staff Backend Engineer, Platform

Opportunity ZeitMind is an autonomous data engineer for mid-market businesses. Agents and people work the same company data: ingest, pipeline, clean, analyse, build operational apps we are growing fast and will be onboarding multiple enterprise customers a week. The backend isn't ready yet, your impact will decide the speed at which we can grow load growth is compounding: more customers, multiple users per customer, many agent interactions per user and multiple agent artifacts (data pipelines, schedules, analyses) coming out of the interactions you own the platform What you'll do scale a multi-tenant Postgres under unpredictable load: query and I/O optimisation, read/write separation, horizontal scaling make agent-driven workloads survivable: one user can spin up 30 table syncs, some running hours, while others query large sources manage the sandbox layer: Docker containers where agents run queries and reverse-engineer files, with compute and memory budgets own connectivity into customer networks: SOCKS5 over WebSockets, authentication, routing scope the architecture and build it What we're looking for staff or principal level, still hands-on, writing production code built and scaled multi-tenant data platforms in a B2B startup or platform company before deep Postgres or database knowledge: query plans, locking, I/O, caching, replication, sharding understands startup pace and ownership without specs pragmatic over ideal, wants to build foundations right without overengineerin