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# Senior Software Engineer - Agentic Systems

- **Company:** Beroe X nnamu GmbH
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Databases, Distributed Systems, Elasticsearch, Python (Programming Language), Neo4j, Redis, Systems Integration, AI Infrastructure, Enterprise Data Management, Data Ingestion, Multi-Agent Systems, Backend, Event Driven Architecture, Celery, Data Pipelines, Crud
- **Published:** July 10, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=7cb82f6cbcc01b9e

## About the Role

* 7+ years building production backend systems.
 * Strong software engineering fundamentals and deep proficiency in Python.
 * Deep understanding of distributed systems, APIs, MCP, databases, and event-driven architectures.
 * Experience operating systems at scale.
 * Experience with observability and incident response.

Strong Plus:

 * AWS, Celery + Redis.
 * OpenSearch/Elasticsearch, Neo4j, AI infrastructure and enterprise integrations.
 * Platform engineering and data pipeline experience.

## Description

We're looking for engineers who build and operate distributed systems at scale.
If your experience is mostly CRUD applications, this probably isn't your role.
If you've designed resilient systems, debugged distributed failures, and enjoy solving difficult infrastructure problems, keep reading.

Why Max:
MAX continuously senses, reasons, and surfaces the decisions that need attention for enterprise procurement teams. We're building the infrastructure that makes autonomous AI dependable at enterprise scale.

Why Now:
The foundations are in place. The next phase is scaling our infrastructure, integrations, and AI capabilities globally.

What you will build:

 * Distributed backend services and APIs.
 * Agent orchestration platforms and long-running workflows.
 * Enterprise data ingestion frameworks and connectors.
 * Highly observable, resilient cloud-native systems.
 * Infrastructure that powers AI applications at scale.

Problems you will tackle:

 * State management and failure recovery
 * Event-driven systems and orchestration
 * High-throughput APIs and data ingestion
 * AI infrastructure and platform reliability
 * Cost optimization and large-scale orchestration

Responsibilities

 * Own platform capabilities end-to-end.
 * Design resilient distributed systems.
 * Build scalable backend services and APIs.
 * Improve reliability, performance, and cost efficiency.
 * Raise engineering standards and mentor other engineers.


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