Top Tech Jobs & Startup Jobs in Dublin

Build and scale low-latency AI serving infrastructure for SLMs, prompt-injection engines, and classification services. Architect GPU-accelerated inference pipelines, backend microservices, Kubernetes clusters, rate limiting, tenant guardrails, monitoring, and autoscaling systems. Develop continuous evaluation, retraining, model CI/CD, regression gates, and MLOps/LLMOps pipelines while improving service reliability, latency, cost efficiency, and detection quality.

Build and harden Chromium-based browser components in C++ for AI and browser security. Develop prompt-injection and Shadow AI detection, integrate AI agents, MCP servers, and CDP, and support networking and HTTP security capabilities. Build tooling and detection services with Python or Rust, deploy cloud infrastructure on AWS or GCP using Kubernetes and Terraform, and optimize high-scale systems across browser and backend environments.

Own full-cycle technical recruiting across Engineering, Product, and Design. Build diverse talent pipelines, advise hiring managers and senior leaders, use AI-assisted recruiting tools, improve recruiting processes, manage talent communities, and report on hiring metrics. The role emphasizes stakeholder influence, candidate advocacy, sourcing hard-to-find talent, and delivering strong candidate and hiring-manager experiences.

Owns an end-to-end product area within Menlo Security’s agent runtime security platform. Responsibilities include researching agent security, identity, protocols, and competitors; writing PRDs and acceptance criteria; managing backlogs; partnering with engineering through releases; prototyping with AI tools, MCP clients, and agent runtimes; tracking adoption and success metrics; enabling support and solutions engineering; and supporting customers, sales, marketing, and competitive positioning.

Design and execute manual and automated testing for web applications, APIs, and backend services. Build regression, smoke, and critical-path automation suites; validate functional, integration, end-to-end, and non-functional requirements; identify and track defects; verify fixes; and collaborate with engineering, product, and DevOps teams. Use AI-assisted tools for test generation, flaky-test triage, and log analysis while improving QA processes, tooling, coverage, and release quality.

Design, build, and operate multi-region VM and Kubernetes infrastructure on GCP and AWS. Lead IaC standards with Terraform/Spacelift, implement observability (Grafana/Prometheus/OTel), manage core platform services (DNS, certs, ingress, service mesh), drive automation and CI/CD, mentor engineers, and participate in 24x7 on-call incident response and post-incident reviews.