Platform Engineer

Meyandy LLC; Berlin; Vor Ort; EUR 90.000 - 150.000; Vollzeit

Benefits dieser Stelle

Referral bonus

Zusammenfassung

Zauber Technology GmbH in Berlin is seeking a Platform Engineer to build and operate the runtime infrastructure powering our AI agents in production, the systems that customers depend on.

You will own production reliability: latency budgets, capacity planning, and incident response, and instrument the stack with tracing, structured logging, and alerting to surface problems early.

Qualifikationen

• Experience owning infrastructure end-to-end at a startup.
• Deep understanding of distributed systems and failure modes.
• Strong knowledge of deployment pipelines and observability.
• Experience with AWS primitives or serverless tools.

Aufgaben

• Build and operate the runtime infrastructure powering AI agents in production.
• Design for concurrency, retries, backpressure, and idempotency.
• Own production reliability including latency budgets and incident response.
• Instrument the stack with tracing, structured logging, and alerting.
• Own end-to-end deployment pipelines, including CI/CD and staging environments.
• Develop internal tooling to speed product delivery.

Kenntnisse

Distributed systems design

CI/CD design

Observability & monitoring

AWS familiarity

Workflow orchestration tools

MongoDB knowledge

Serverless tooling exposure

Tools

Vercel

Datadog

ECS

Lambda

SQS

IAM

Jobbeschreibung

Referral bonus: If you know someone exceptional feel free to connect us via LinkedIn (Dennis Agidigbi), if we end up hiring them for a full-time role, you’ll receive 10,000€.

About Zauber After co‑founding and scaling Forto to over $600M in funding, I took a step back to reflect on what’s still broken in global logistics. The answer was clear: it’s still a human‑first, spreadsheet‑heavy industry, full of repetitive processes and broken system interoperability. With the rise of AI agents, we now have the tools to rethink that from the ground up. Zauber builds autonomous agents for the global logistics industry, AI workers that handle operational tasks, talk to systems and humans alike, and get better every day. We’re already live with global logistics leaders in Europe and Asia. Backed by P9 - one of Europe’s top early‑stage funds. Growing fast and hiring exceptional engineers to join early.

What You’ll Do

• 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
• Instrument the stack with tracing, structured logging, and alerting so problems surface before users notice them
• 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

You Might Be a Fit If You…

• Have experience owning infrastructure end‑to‑end at a startup, where you picked the tools and lived with the consequences
• Understand distributed systems deeply enough to know what managed platforms are doing under the hood, and where their abstractions will break
• Care about developer experience: deployment pipelines, local dev setups, error messages, and the small things that compound into engineering velocity
• Prefer to automate yourself out of toil rather than accept it
• Want to lay the foundation at a company where infrastructure decisions directly shape the product

What You Bring

• 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
• 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
• Familiarity with workflow orchestration tools like Inngest, Temporal, or Step Functions, and the queueing and retry semantics underneath them
• MongoDB experience: schema design tradeoffs, indexing strategy, and performance tuning as data and query patterns evolve
• Strong observability practice, ideally Datadog, including distributed tracing, custom metrics, and SLO‑based alerting
• Enough AWS fluency (ECS, Lambda, SQS, IAM) to know what you’d reach for when the managed tools hit their limits
• High‑agency mindset and comfort operating independently in a fast‑changing environment

Location & Logistics

Berlin office preferred, but… Platform Engineer — Zauber Technology GmbH, Berlin. Cette offre d’emploi a été agrégée automatiquement depuis arbeitnow. Mots‑clés : Product & Engineering.