6 дней назад
Sr. Software Engineer, Threat Detection Incident Response (Hybrid, Dublin) (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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