Top Tech Jobs & Startup Jobs in Dublin

Design, build, and evolve a scalable aggregate system to accelerate query performance across cloud data platforms; architect prediction/selection logic for aggregates; optimize maintenance, scheduling, and reliability at scale while collaborating with query planning and platform teams.

Design, develop, and maintain high-performance backend systems and APIs using C#/.NET on Azure (AKS, App Services, Blob Storage). Build microservices, design RESTful/gRPC APIs, optimize for scalability, availability, and cost, resolve performance bottlenecks, collaborate across teams, and mentor engineers. Participate across the full software lifecycle with at least four hours daily overlap with PST.

Design, develop, test, and deploy high-availability, high-performance backend meteorological systems. Build containerized, cloud-native distributed services, integrate monitoring and CI/CD, optimize performance, collaborate cross-functionally, maintain production runbooks, and support operational teams.

Design and implement a production-ready Azure baseline environment, secure infrastructure components, configure CI/CD pipelines, deploy application hosting, implement IaC, enable monitoring, document architecture, and deliver knowledge transfer to the team.

Migrate Microsoft Sentinel and related Azure resources to Infrastructure-as-Code (Terraform); build and maintain secure CI/CD pipelines in GitHub and Azure DevOps; apply software engineering practices, automate deployments, produce documentation and inventories, and communicate migration status to technical and non-technical stakeholders.

Design and build scalable reusable UI components with React and TypeScript, develop backend services with Node.js/Express, contribute to micro-frontend architecture, improve performance, reliability, observability and security, write tests, participate across the SDLC, and collaborate with cross-functional teams on a large-scale SaaS platform.

Lead architecture and delivery of a consolidated PHP/Laravel portal on AWS: drive migrations, design event-driven RabbitMQ flows, oversee data migration, embed observability (Datadog), enforce CI/CD and test automation, and mentor a distributed Scrum team.

Senior full-stack engineer responsible for end-to-end design, implementation, testing, deployment and support of backend (Python/Django) and frontend (Angular/TypeScript) applications in a regulated manufacturing environment, ensuring compliance, validation, and production readiness.

Design, develop, and deploy production-grade ML and AI solutions including LLM fine-tuning, RAG architectures, NLP pipelines, time-series forecasting, supplier risk and anomaly detection, scalable data pipelines, and RESTful integrations with enterprise systems.

Lead end-to-end ML systems for LLM/NLP document intelligence and supply-chain predictive analytics. Design and fine-tune transformer-based models, implement RAG pipelines, build forecasting, classification and optimization algorithms, and productionize models using containerization and MLOps tools. Ensure robust, explainable models deployed to secure on-premise environments with monitoring and continuous improvement.