Top Tech Jobs & Startup Jobs in Dublin

Develop and deploy production machine learning solutions for forecasting, recommendation, propensity modeling, fraud detection, risk modeling, and customer analytics. Define experimentation and evaluation frameworks, apply foundation-model embeddings, measure business impact, and collaborate with product, engineering, analytics, and business teams. Communicate technical findings, establish reusable modeling standards, and mentor junior data scientists.

Leads complex, cross-functional technical programs across engineering teams, regions, architectures, and vendors. Establishes program governance, delivery processes, reporting, and operating rhythms; manages risks and escalations; aligns stakeholders; communicates status to senior leadership; and builds scalable delivery and onboarding models for a growing engineering organization.

Leads complex, cross-functional technical programs from strategy through delivery. Establishes program governance, delivery processes, and operating rhythms; coordinates engineering teams, regions, vendors, and stakeholders; manages escalations, risks, dependencies, and executive communications; and drives predictable execution. The role also supports scaling engineering squads by creating repeatable delivery and onboarding models in an ambiguous, fast-growing environment.

Build and operate highly available, scalable cloud infrastructure for Ekata. Responsibilities include managing Linux systems, Kubernetes clusters, Infrastructure as Code, CI/CD automation, monitoring, security, networking, and cloud services across AWS, Azure, or GCP. The role develops internal tooling, supports production troubleshooting, improves reliability and performance, maintains documentation, and participates in on-call rotations.

Build, scale, secure, and support highly available Linux platforms across public clouds. Develop infrastructure-as-code, automation, deployment tooling, monitoring, and Kubernetes environments. Troubleshoot production, networking, availability, and performance issues; support engineering teams; maintain documentation; and participate in on-call rotations. The role requires cloud infrastructure, CI/CD, container orchestration, programming, database, security, and networking expertise.

Build and support highly available Linux production systems across public clouds. Develop infrastructure-as-code, CI/CD automation, monitoring, Kubernetes platforms, security controls, and custom tooling. Troubleshoot networking, performance, and production issues; support engineering teams; maintain documentation; and participate in on-call rotations. The role requires strong cloud, containerization, Linux systems, programming, database, networking, and infrastructure automation expertise.

Build, scale, and support highly available Linux production systems across public clouds. Develop infrastructure-as-code, automation, deployment tools, monitoring, and security controls. Manage Kubernetes, networking, databases, caching, load balancing, and service mesh components. Troubleshoot production and performance issues, support engineering teams, maintain documentation, and participate in follow-the-sun on-call rotations.

Develop and deploy production machine learning solutions for forecasting, recommendation, propensity modeling, fraud detection, risk modeling, and customer analytics. Define experimentation methods, evaluation frameworks, and success metrics; apply embeddings and foundation-model techniques; and measure business impact. Partner with product, engineering, analytics, and business teams from problem definition through deployment. Communicate insights to technical and nontechnical stakeholders, establish reusable modeling standards, and mentor junior data scientists.

Develop and deploy production machine learning solutions, including forecasting, recommendation systems, propensity modeling, fraud detection, and customer analytics. Define experiments, evaluation frameworks, and success metrics; apply embeddings and foundation-model techniques; and measure business impact. Collaborate with product, engineering, analytics, and business teams, communicate technical findings, establish reusable modeling standards, and mentor junior data scientists.

Manage and scale highly available Linux production and development environments across public clouds. Build infrastructure-as-code, CI/CD automation, Kubernetes platforms, monitoring, security controls, and deployment tooling. Troubleshoot infrastructure, networking, availability, and performance issues; support engineering teams; maintain documentation; and participate in on-call rotations. Develop automation and integration tools using Go, Python, Rust, or Bash.