Назад
6 дней назад

Sr. Software Engineer, Threat Detection Incident Response (Hybrid, Dublin) (Cybersecurity)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Sr. Software Engineer, Threat Detection Incident Response (Cybersecurity): Building Go-based microservices, RESTful APIs, and case-management capabilities for an AI-native SIEM platform processing threat data at petabyte scale with an accent on distributed systems, incident response, and intelligent analyst workflows. Focus on designing resilient low-latency services, integrating AI/ML and agentic workflows, and improving reliability for security investigations.

Location: Hybrid in Dublin, Ireland

Company

Cybersecurity company developing an AI-native platform for detecting, investigating, and responding to threats at large scale.

What you will do

  • Design, architect, and develop Go-based microservices for threat detection, case management, and incident response.
  • Build RESTful APIs and intelligent workflows connecting detections, evidence, and response actions.
  • Lead system design, architecture decisions, design reviews, RFC processes, and improvements to code quality and performance.
  • Develop AI-powered capabilities including LLM integrations, agentic workflows, and intelligent analyst tooling.
  • Own technical initiatives end to end and collaborate with designers, product managers, and engineers across product groups.
  • Mentor junior and mid-level engineers, participate in on-call rotation, and improve system reliability.

Requirements

  • 8+ years of professional software engineering experience, including 5+ years building and operating distributed systems or cloud-native services at scale.
  • Proficiency building resilient, low-latency production services with Go, Python, Java, C++, or C#.
  • Strong understanding of distributed systems, scalability, RESTful patterns, and multithreading.
  • Hands-on experience with Docker, Kubernetes, and cloud platforms, preferably AWS or GCP.
  • Strong cross-functional communication, ownership, collaboration, and ability to translate ambiguous requirements into technical solutions.
  • Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Nice to have

  • Experience developing Go-based microservices for scalable, high-throughput architectures.
  • Background in cybersecurity, SIEM, SOAR, or adjacent security domains.
  • Experience with LLM integration, prompt engineering, RAG pipelines, or agentic AI frameworks.

Culture & Benefits

  • Flexible, autonomous environment with a focus on responsible AI adoption and innovation.
  • Market-leading compensation and equity awards.
  • Physical and mental wellness programs, competitive vacation, and holidays.
  • Paid parental and adoption leave.
  • Professional development opportunities, employee networks, volunteer opportunities, and office amenities.

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