Top Tech Jobs & Startup Jobs in Dublin

Lead the architecture and development of a multi-country Snowflake and GCP data platform. Build CDC ingestion pipelines, dbt semantic models, and DataOps CI/CD workflows; implement governance, RBAC, PII masking, compliance, FinOps, and performance optimization. Partner with business stakeholders, document architectural decisions, and mentor data engineers across LATAM operations.

Acquire new gaming clients through conferences and outreach, present N-iX Games’ development and content-production capabilities, build industry relationships, identify market opportunities, customize proposals and project documentation, pitch services, and maintain business activity in CRM systems. The role requires gaming business-development experience, strong English communication, knowledge of game production, and travel abroad as needed.

Manage and evolve AWS infrastructure, Windows production servers, and .NET applications for a collateral management platform. Responsibilities include Infrastructure as Code, server patching, security remediation, monitoring, legacy application and batch-process migrations, production cutovers, troubleshooting, SonarQube remediation, sensitive-data masking and tokenization, testing, documentation, and knowledge transfer. The role requires strong AWS, Windows Server, .NET, SQL Server, PowerShell, and application security experience.

Develop and maintain Windows and web applications for an engineering document management system. Responsibilities include bug fixing, upgrades, technical improvements, writing clean and efficient code, participating in code reviews and Agile ceremonies, and troubleshooting complex customer issues. The role requires extensive experience with C#, C++, .NET, JavaScript, Angular, databases, APIs, Windows technologies, cloud infrastructure, security, and development tooling.

Leads enterprise solution architecture across discovery, consulting, proposals, and delivery. Defines technology vision, designs scalable cloud-native and distributed systems, advises executive stakeholders, governs implementation, and evaluates emerging technologies. Builds reusable consulting frameworks, mentors architects and engineers, leads complex client engagements, and supports pre-sales and upsales. Requires extensive software engineering and architecture leadership experience, cloud expertise across multiple platforms, strong communication skills, and knowledge of Agile, DevOps, CI/CD, and Infrastructure as Code.

Build and maintain PHP and Laravel backend services and APIs for a major product release. Own features from design through deployment and monitoring, integrate agentic AI workflows and LLM-based tooling, optimize performance and reliability, improve security, and mentor engineers. Collaborate independently with a cross-functional team on ambiguous technical challenges while delivering production-ready software.

Build and maintain scalable GCP data pipelines, BigQuery data models, enterprise semantic layers, and CI/CD workflows for a modernized marketing data platform. Rebuild legacy pipelines, support DataHub adoption, enforce data quality, optimize performance and costs, and enable secure multi-brand marketing reporting. Collaborate with product, Martech, analytics, and data engineering teams.

Build and maintain .NET integration services and microservices for Workday-to-Data-Lake and Marketplace-to-HubSpot initiatives. Deploy, monitor, and support secure AWS cloud solutions; implement API, event-driven, asynchronous, webhook, scheduling, and data-ingestion workflows. Ensure data quality, reconciliation, idempotency, and secure data handling. Collaborate with the Tech Lead and engineering squad, follow reference architecture, document solutions, and share knowledge.

Designs and maintains AWS data platform foundations, lakehouse architectures, batch and streaming pipelines, tokenization workflows, migration frameworks, governance controls, and DataOps automation. The role uses Spark, Kafka, Iceberg, AWS analytics services, CI/CD, infrastructure as code, and observability tooling to support secure hybrid cloud data and AI initiatives. Responsibilities also include schema governance, cost monitoring, technical documentation, disaster recovery, and cutover planning.

Designs and operates production-grade Amazon EKS platforms across AWS and on-premises environments. Responsibilities include hybrid Kubernetes networking, autoscaling with Karpenter, Bottlerocket lifecycle management, EMR-on-EKS workloads, GPU infrastructure for AI and voice inference, GitOps deployment, security policy enforcement, infrastructure as code, observability, disaster recovery, and operational documentation.