Job
In this role, you will own the end-to-end management of the backend, including architecture, API design, and workflow optimization, while developing and operating robust and reliable systems in Python.
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Job technologies
Your role in the team
- Own the backend end-to-end: service architecture, API design, reliability posture, and long-term technical direction.
- Be the person who knows how everything fits together - and who other engineers come to when they're not sure where something belongs.
- Set the bar on code quality, service boundaries, and shared abstractions across the engineering team.
- Make foundational decisions with conviction, document the reasoning, and evolve them as the system grows.
- Design for failure: retries, timeouts, graceful degradation, and recovery paths built in from the start.
- Write code that is easy to operate - observable, testable, and straightforward to debug at 2am.
- Verstehen Sie die Laufzeitumgebung, nicht nur das Framework. Wissen Sie, wann das Problem im Code, in der Konfiguration oder in der Infrastruktur liegt.
- Design and build durable workflows using Temporal - long-running processes, async coordination, saga patterns.
- Own workflow observability: know when a workflow is stuck, degraded, or silently wrong before a customer notices.
- Think carefully about idempotency, failure modes, and replay semantics - not just the happy path.
- Evolve workflows without breaking running instances; manage versioning with intention.
- Detect regressions before they become incidents; build the tooling to catch them early.
- Own the operational posture of the services you build: alerting, runbooks, on-call readiness.
- Identify structural debt before it compounds; propose refactors that are thoughtful, not just correct.
Our expectations of you
Qualifications
- Non-negotiable Python depth: You make deliberate choices about async vs. sync, framework selection, and performance tradeoffs. You know the language well enough to have opinions.
- You've used Temporal (or a comparable workflow engine) in production. You understand durable execution, not just task queues.
- Idempotency, retries, and observability are part of how you design, not afterthoughts.
- You're comfortable being the person who holds the full backend picture. You identify what's broken or missing before you're asked, and you don't leave the system worse than you found it.
- We're a strong team with broad coverage. What we're hiring for is someone who brings a 10x improvement in an area we're currently underinvested in. That might be workflow systems, data infrastructure, AI-native backend patterns, or deep domain expertise. We don't know exactly what shape it takes - but you should know what yours is, and be able to articulate why it matters.
Experience
- 6+ years building and operating backend systems in Python, with clear ownership of production services - not just feature delivery.
Topics you will work on
Job locations
About your employer
GeneralMind is a forward-thinking startup based in Berlin that focuses on creating an AI-driven automation platform. This platform enhances operational processes in companies, particularly in the areas of supply chain and ERP. GeneralMind targets medium-sized and large companies, offering solutions for automating routine tasks.
- Startup
- Onsite
- Internet, IT, Telecommunication
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