Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop the infrastructure for our AI agents, build reliable systems for concurrency and failure handling, and take ownership of the entire deployment process from CI/CD to production.
Job Technologies
Your role in the team
- You will build the infrastructure that our AI agents run on. We've made pragmatic early tooling choices for speed, and as we scale, some will hold and some won't. We need someone who understands the distributed systems principles underneath modern tooling, and can make the right call on when to keep things simple and when to reach for something heavier. This is a foundational role, and you'll design the systems the rest of the team builds on.
- Build and operate the runtime infrastructure that powers our AI agents in production, the systems that customers depend on.
- Design for concurrency and failure, including queuing, retries, backpressure, and idempotency, so agent workflows stay reliable under real-world load.
- Own production reliability: latency budgets, error budgets, capacity planning, and incident response.
- Instrumentiere den Stack mit Tracing, strukturiertem Logging und Alerting, damit Probleme erkannt werden, bevor Nutzer sie bemerken.
- Own the deployment pipeline end-to-end: CI/CD, preview and staging environments, and the path from local dev to production.
- Build internal tooling and abstractions that let the product team ship faster without worrying about infrastructure.
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Our expectations of you
Qualifications
- Understand distributed systems deeply enough to know what managed platforms are doing under the hood, and where their abstractions will break.
- Prefer to automate yourself out of toil rather than accept it.
- Möchtest du die Grundlage in einem Unternehmen legen, in dem Infrastrukturentscheidungen das Produkt direkt beeinflussen.
- Strong understanding of distributed systems: concurrency, eventual consistency, event-driven architectures, and failure modes. You have the mental models even if you've implemented them with modern serverless tools rather than raw AWS primitives.
- Vertrautheit mit Workflow-Orchestrierungstools wie Inngest, Temporal oder Step Functions sowie den darunterliegenden Warteschlangen- und Wiederholungsmechanismen.
- Strong observability practice, ideally Datadog, including distributed tracing, custom metrics, and SLO-based alerting.
- Ausreichende AWS-Fluency (ECS, Lambda, SQS, IAM), um zu wissen, worauf Sie zurückgreifen würden, wenn die verwalteten Tools ihre Grenzen erreichen.
- High-agency mindset and comfort operating independently in a fast-changing environment.
Experience
- Have experience owning infrastructure end-to-end at a startup, where you picked the tools and lived with the consequences.
- Care about developer experience: deployment pipelines, local dev setups, error messages, and the small things that compound into engineering velocity.
- Experience with CI/CD design: multi-environment pipelines, automated testing gates, preview deployments, infrastructure-as-code.
- Hands-on experience with platforms like Vercel, and an honest sense of where they scale and where they don't.
- MongoDB experience: schema design tradeoffs, indexing strategy, and performance tuning as data and query patterns evolve.
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What we offer
- Berlin office preferred, but open for hybrid setups.
- Annual offsite (last year we took the team for 4 weeks to San Francisco).
- As soon as possible.
- Top-of-market compensation and meaningful early equity.
- Direct access to real users and fast feedback loops.
- A highly experienced team with full trust and autonomy.
- The opportunity to shape the foundations of a company and product from day one.
- A mission that matters: building intelligent systems to power the future of global trade.
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Topics that you deal with on the job
Job Locations
This is your employer
Zauber Technology GmbH
Zauber Technology GmbH, based in Berlin, specializes in AI-driven software solutions for the logistics sector. With innovative AI agents, it optimizes processes in sea and air freight.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Platform Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
