---
title: "Staff Backend Engineer, Platform"
company: "Zeit AI"
company_url: "https://www.remjobs.works/companies/zeit-ai"
url: "https://www.remjobs.works/job/zeit-ai-staff-backend-engineer-platform-6a1420ee-7ae4-477c-becf-9e3fce04b18b"
apply_url: "https://jobs.ashbyhq.com/zeit-ai/ae0852ac-f7f3-4301-82a9-0edd8fdf47bc"
workplace: onsite
location: "Munich"
employment_type: full-time
seniority: staff
role: software-engineering
region: europe
skills: ["databricks", "docker", "postgres", "react", "snowflake", "typescript"]
salary: "€95,000–€270,000 per year"
date_posted: 2026-09-21T11:25:18.772Z
first_seen_by_remjobs: 2026-09-21T11:44:21.509Z
---

# Staff Backend Engineer, Platform

**Zeit AI** · Munich

Salary: €95,000–€270,000 per year

Apply: https://jobs.ashbyhq.com/zeit-ai/ae0852ac-f7f3-4301-82a9-0edd8fdf47bc

## About Zeit AI

Ask a question in plain English and ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns it into the live applications your teams actually make decisions with.

It is built for the finance, controlling, procurement, supply chain and sales teams at companies that run enterprise systems without an enterprise data team.

## About the 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 pipeline, 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

- has deep Postgres or database knowledge: query plans, locking, I/O, caching, replication, sharding

- understands startup pace and ownership without specs

- pragmatic over ideal, want to build foundations right without overengineering

- strong TypeScript

- English C1, German a plus**Nice to have**

- experience at a data platform or warehouse company (Snowflake, Databricks, Cloudflare similar)

- networking depth: proxies, VPN, routing**Location**

- Preferred: Munich, on-site. We support relocation within Europe

- already in London? We can make that work. We have people here and are opening a small office, and we'd expect regular Munich travel. In-person culture is important to us**Tech stack**

- TypeScript end to end. Bun, tRPC, Postgres, Supabase. React frontend (Mantine, TanStack Query). Docker, job/process management, VPN/routing, agentic frameworks

---

Source: Zeit AI's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/zeit-ai-staff-backend-engineer-platform-6a1420ee-7ae4-477c-becf-9e3fce04b18b