Top Tech Jobs & Startup Jobs in Dublin

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Develop and maintain large-scale backend services for CrowdStrike’s Kestrel UI foundation. Responsibilities include distributed systems design, API development, testing, deployment, debugging, performance and observability improvements, cross-team collaboration, mentoring, requirements implementation, and on-call support. The role requires expertise in scalable backend architecture, resilient engineering practices, continuous integration, and production software delivery using Go, Python, cloud, and distributed data technologies.

Design, develop, test, deploy, and maintain large-scale backend services for CrowdStrike’s Kestrel platform. Responsibilities include distributed systems and API design, troubleshooting production issues, mentoring engineers, improving architecture and performance, collaborating with product and engineering teams, and participating in on-call support.

Conduct incident response engagements, threat hunting, intrusion investigations, and host and network forensics across Windows, macOS, and Linux. Analyze malware and network activity, support remediation planning, and communicate findings through reports and presentations to customers, regulators, executives, and legal counsel. The role requires independent technical execution, customer interaction, knowledge of cloud incident response, and the ability to use AI technologies to improve security workflows.

Conduct incident response engagements, threat hunting, intrusion investigations, and host or network forensics across Windows, macOS, and Linux. Analyze targeted attacks, malware, network activity, and cloud incidents; support remediation planning; and prepare technical findings, reports, presentations, and recommendations for customers, regulators, and legal counsel. The role requires independent technical execution, customer communication, and collaboration with project leadership and internal teams.

Conduct incident response engagements and intrusion investigations for major organizations. Hunt for threat actors across large datasets, perform host and network forensics across Windows, macOS, and Linux, analyze malware and network activity, and support remediation planning. Prepare reports, presentations, recommendations, and findings for customers, regulators, executives, and legal counsel while collaborating with project leadership and internal teams.

Provide proactive technical support and account advocacy for Premium Support customers across EMEA. Responsibilities include customer onboarding, platform training, health checks, technical issue resolution, escalations, knowledge sharing, renewal-risk mitigation, and expansion support. The role partners with internal technical and sales teams, serves customers from SOC staff to executives, and requires fluent English and Hebrew, Windows Server experience, cybersecurity knowledge, strong communication, and up to 25% travel.

The role involves researching cybersecurity threats, vulnerability analysis, developing automated tools, and collaborating with teams to provide technical expertise and publish findings.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.