Remote Systems Engineer - Cyber Security & Automation

Exeon Analytics

Zürich

Remote

CHF 110.000 - 150.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Exeon Analytics in Zurich is seeking a Systems Engineer to help design the components and data flow of our core products, including ingestion pipelines, deployment configurations, and scalable operations across diverse customer environments, many on-prem and air-gapped.

You will split your time between building tooling and deploying/operating for customers, ensuring reliability and successful adoption while collaborating with Security Experts, Data Scientists and Business Professionals.

Qualifikationen

  • 3-5 years of systems engineering or similar
  • Experience with containerized deployments (Docker/Kubernetes)
  • Strong Python and Bash scripting for automation
  • Experience designing data ingestion pipelines with heterogeneous formats
  • Remote-friendly with English-speaking team; German appreciated

Aufgaben

  • Build tooling and automation for deployment, configuration, and lifecycle management
  • Design, build, and maintain scalable log ingestion pipelines
  • Deploy and operate Exeon in customer environments (on-prem, private cloud, hybrid)
  • Translate customer data sources and constraints into clear requirements
  • Contribute to customer support, docs, and runbooks

Kenntnisse

Systems engineering
Data engineering
Python
Bash
Docker
Kubernetes
Network security basics
English communication
German language appreciated

Ausbildung

Degree in Computer Science or equivalent

Tools

Docker
Kubernetes
Elastic Stack
Logstash/Fluentd

Jobbeschreibung

Exeon Analytics in Zurich is seeking a Systems Engineer to help design the components and data flow of our core products, including ingestion pipelines, deployment configurations, and scalable operations across diverse customer environments, many on-prem and air-gapped.

You will split your time between building tooling and deploying/operating for customers, ensuring reliability and successful adoption while collaborating with Security Experts, Data Scientists and Business Professionals.

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