zeit-ai

Staff Backend Engineer, Platform

Listed by employer · Checked

Posted within 60 days ·

  • onsite
  • FullTime
  • Engineering
  • Munich
  • London
Work arrangement
onsite
Employment
FullTime
Stated compensation
EUR 95,000–270,000 1 YEAR
Stated sponsorship
Not stated
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Requirements

1 with evidence8 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
FullTime
Compensation
EUR 95,000–270,000 1 YEAR
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified

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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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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
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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
Original formatting and links

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

 

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