Senior Reliability Engineer (Cybersecurity, Hybrid)

Aarhus, Central Denmark
Posted 2 days, 14 hours ago
Engineering

About the role

Job summary

This role focuses on enhancing the reliability and scalability of a large-scale security information and event management (SIEM) platform, ensuring continuous availability of security-relevant data for automated detection and response. The position involves working with complex distributed systems and requires a deep understanding of observability and incident response.

Qualifications

  • Over 10 years of experience in software engineering, site reliability engineering, or platform engineering, particularly with large-scale distributed systems.
  • Proficiency in at least one systems programming language (Go, Java, Rust, or C++) and one scripting language (Python, Bash).
  • Strong background in end-to-end observability, including building monitoring pipelines and defining SLIs/SLOs.
  • Experience diagnosing and resolving complex incidents across multiple components.
  • Familiarity with capacity planning and scaling for large infrastructure systems.

Responsibilities

  • Design and maintain monitoring and synthetic test suites for the NG-SIEM pipeline.
  • Engineer scaling solutions to manage resources across dependent components effectively.
  • Serve as a subject matter expert during platform-wide incidents, coordinating incident responses.
  • Develop capacity forecasting models and track cost drivers across the platform.
  • Automate standard operating procedures to improve response times and system resilience.
  • Collaborate with various teams to manage SLO breaches and drive reliability efforts.

Skills

  • Strong analytical and problem-solving skills, particularly under pressure.
  • Excellent communication skills for leading incident communications and producing analyses.
  • Ability to work collaboratively in a distributed team environment across time zones.

Education

  • Relevant degree in Computer Science, Engineering, or a related field is preferred.

Tools

  • Experience with streaming platforms (e.g., Kafka), infrastructure-as-code, CI/CD pipelines, and automated deployment practices.
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