(Senior) Cloud / Backend Engineer (m/f/d) Industrial Systems & Observability

Agile Robots SE; München; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading high-tech company in Munich is seeking a (Senior) Cloud / Backend Engineer to design and operate cloud infrastructure systems. This role focuses on observability, data pipelines, and system integration across factory environments. Ideal candidates will have several years of experience in cloud and backend engineering, proficiency in a major programming language, and a background in industrial systems. Join a dynamic team with diverse opportunities for professional growth and development.

Leistungen

Corporate Benefits Program

Modern office facilities

Development opportunities

Qualifikationen

• Several years of professional experience in cloud, infrastructure, or backend systems.
• Ability to write production-quality code with tests in Java, Python, or C++.
• Solid understanding of system design and application architecture.

Aufgaben

• Design and maintain logging, metrics, tracing, and monitoring solutions.
• Build and operate data collection pipelines across environments.
• Develop APIs and integrations to manage operational data from factory systems.

Kenntnisse

Cloud & Backend Engineering

Production Code

System & API Design

Data & Event Pipelines

Containerization

Observability & Monitoring

Industrial Deployment Context

Tools

Cloud Platforms

Kafka

Jobbeschreibung

Join to apply for the (Senior) Cloud / Backend Engineer (m/f/d) Industrial Systems & Observability role at Agile Robots SE

About the Role

The AI Research Division of Agile Robots is looking for a (Senior) Cloud / Backend Engineer (m/f/d) Industrial Systems & Observability. You will design, build, and operate cloud and hybrid‑cloud on‑premise infrastructure systems that support logging, monitoring, and data collection for industrial robotic production lines. The role focuses on observability, data pipelines, and system integration across factory environments and cloud platforms to enable reliable operation, diagnostics, and continuous improvement of deployed robotic systems.

Responsibilities

• Observability Systems: Design, implement, and maintain solutions for logging, metrics, tracing, and monitoring of production‑line systems.
• Data Pipelines: Build and operate data collection, buffering, and transport pipelines across on‑premise and cloud environments.
• System Integration: Develop APIs and integrations to export, consume, and report operational data from factory systems.
• Platform Enablement: Provide standards, libraries, and best practices for observability, monitoring, and data usage to product and engineering teams.
• Infrastructure Operations: Maintain and evolve containerized services and deployment workflows supporting factory‑scale systems.
• Field Collaboration: Collaborate with on‑site engineers during deployment, validation, and feedback cycles, including travel to customer or factory locations when required.

Essential Skills

• Cloud & Backend Engineering: Several years of professional experience building cloud, infrastructure, or backend systems, including logging and data‑intensive services.
• Production Code: Ability to write production‑quality code with unit and integration tests in at least one major language (e.g., Java, Python, or C++), using collaborative Git‑based workflows.
• System & API Design: Solid understanding of system design, application architecture, integration patterns, and API design for distributed systems.
• Data & Event Pipelines: Experience working with data storage systems (SQL or object storage) and event‑streaming or messaging platforms such as Kafka.
• Containerization: Hands‑on experience with containerized environments and modern deployment workflows in production settings.
• Observability & Monitoring: Experience designing or operating logging, monitoring, alerting, and dashboarding solutions for production systems.
• Industrial Deployment Context: Exposure to industrial or production‑line environments, professional working proficiency in English, and willingness to travel to production sites when required.

Beneficial Skills

• Hybrid Infrastructure: Familiarity with hybrid infrastructures, including on‑premise deployments integrated with cloud platforms.
• Cloud Platforms: Experience using public cloud platforms, with Microsoft Azure as a plus.
• Additional Capabilities: Knowledge of additional programming languages (e.g., C#, Node.js), technical documentation, or Chinese language proficiency.

What we offer

• Dynamic high‑tech company combined with financial soundness and world‑class investors.
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
• Lots of development opportunities in the context of our continued growth.
• Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
• Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
• Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contributing to a good working environment.

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Engineering and Information Technology

Industries

• Automation Machinery Manufacturing

About Us

Agile Robots SE is an international high‑tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state‑of‑the‑art force‑moment‑sensing and world‑leading image‑processing technology. This unique combination of technologies allows us to provide user‑friendly and affordable robotic solutions that enable intelligent precision assembly.

This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!

We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.