Staff Backend Engineer, Platform
MunichCompetitiveOnsite0 applicants
About this role
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
Responsibilities
- 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
Requirements
- 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 Postgre