Staff Backend Engineer, Platform
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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 they'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 overengineering
- Strong TypeScript
- English C1
Nice to have
- German a plus
- Experience at a data platform or warehouse company (Snowflake, Databricks, Cloudflare or similar)
- Networking depth: proxies, VPN, routing
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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 overengineering
strong TypeScript
English C1, German a plus
Nice to have
experience at a data platform or warehouse company (Snowflake, Databricks, Cloudflare or 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
Company
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