Top Tech Jobs & Startup Jobs in Dublin

Conduct security due diligence for acquisitions and business adjacencies, identify vulnerabilities and compliance gaps, and deliver post-acquisition security integrations. Implement AWS and cloud security controls, IAM, SSO, monitoring, vulnerability management, and data protection. Assess architectures, perform threat modeling, integrate security testing into CI/CD pipelines, and ensure alignment with security policies and standards. Partner with engineering, IT, cloud, and business teams to prioritize remediation and balance security with business objectives.

Design and maintain large-scale Kubernetes fleet management systems, including cluster lifecycle automation, upgrades, and decommissioning. Develop and tune Linux kernels, build infrastructure tools in Go and Python, integrate optimized Linux distributions, and implement observability frameworks. Collaborate across teams to resolve system-level issues, improve infrastructure reliability and performance, and mentor engineers while managing small projects.

Designs, implements, and manages cloud platform tools and systems supporting application lifecycles. Responsibilities include building UIs and CLIs, developing automation and diagnostic tools in Go and Java, integrating Kubernetes and open-source technologies, improving CI/CD and cloud-native adoption, ensuring security compliance, collaborating across teams, and deploying observability frameworks for application health and performance.

Design and maintain large-scale Kubernetes fleet management systems, including cluster lifecycle operations, upgrades, provisioning, and decommissioning. Develop and tune Linux kernels and operating systems for scalability, reliability, and security. Build infrastructure automation and diagnostic tools using Go and Python, implement observability frameworks, and collaborate across teams to resolve system-level issues. Mentor team members and lead small projects.

Conduct regulatory audits for payment entities, including control testing, risk identification, audit documentation, and remediation validation. Evaluate AI-related controls and risks, develop actionable findings, prepare audit reports, and improve audit processes and tools. Collaborate with global Internal Audit teams and business partners across regions and time zones while managing multiple audit assignments. The role is hybrid in Dublin, requiring office attendance at least three days weekly and occasional business travel.

Design, build, and operate production systems (Python/Java/SQL) that detect, investigate, and disrupt cybercrime. Develop AI-native, agentic workflows, services, and pipelines, own end-to-end delivery, and translate attacker research into scalable protections.

Designs, develops, deploys, and operates reliable, scalable cloud self-service platforms. Responsibilities include Kubernetes and cloud infrastructure engineering, observability, incident response, root cause analysis, performance optimization, CI/CD improvements, and operational automation. The role collaborates with internal teams to deliver secure, compliant, high-availability services supporting eBay products.

Develop and enhance cloud infrastructure applications for reliability, scalability, and availability. Deploy and operate cloud-native services using Kubernetes and Linux-based internet infrastructure technologies. Implement monitoring, alerting, incident response, root cause analysis, and corrective actions while ensuring security and operational compliance. Collaborate with internal teams to deliver infrastructure solutions in a large-scale, high-traffic environment.

Design, develop, deploy, and operate reliable cloud-native platforms supporting large-scale ecommerce services. Improve reliability, scalability, observability, security, performance, automation, incident response, and CI/CD processes. Build and maintain Kubernetes-based infrastructure, analyze system performance, resolve incidents, conduct root cause analysis, and collaborate with internal customers and cross-functional teams.

Plan and optimize infrastructure capacity across on-premises Kubernetes, Azure, and GCP environments. Forecast compute, storage, and network demand; analyze utilization and performance; identify bottlenecks and inefficiencies; build Grafana and Prometheus dashboards; conduct scenario modeling; and improve capacity automation, workload optimization, reliability, and cost efficiency. The role collaborates across platform, AI, data, search, product, network, and data center teams.