Top Tech Jobs & Startup Jobs in Dublin

Develop Snowflake SQL queries, ETL/ELT scripts, data pipelines, and solutions using Snowflake-native capabilities. Manage roles and user security, implement Snowpipe, Streams, and Tasks, and collaborate with project teams on complex data problems. Support migration architectures, DevOps, and BI initiatives. Snowflake SnowPro Core certification is advantageous.

Build and deploy production-grade generative AI and LLM solutions, including advanced RAG pipelines, prompt strategies, agentic applications, enterprise integrations, and high-throughput unstructured-data processing. Develop with Python and modern ML and LLM frameworks, integrate vector databases, and implement MLOps practices for evaluation, monitoring, CI/CD, and reliable deployment. Collaborate with stakeholders and independently solve ambiguous technical problems while applying GenAI safety guardrails.

Lead a Solution Train coordinating multiple Agile Release Trains modernizing legacy banking systems. Responsibilities include guiding re-platforming and web application development, aligning architecture and stakeholders, facilitating SAFe events, managing risks and dependencies, tracking progress, coaching teams, and driving innovation and continuous improvement.

Provides hands-on junior technical support, including floor-walking after moves, resolving first-line issues, installing and de-installing desktop and AV equipment, cabling, desk testing, asset management, equipment handling, issue tracking, and administrative updates. The role also supports deliveries, waste separation, equipment preparation, and escalation of unresolved incidents. Network and comms room installation experience is desirable but not essential, provided the candidate is willing to learn.

Provides Level 2 support and administration for Microsoft 365 collaboration services, primarily Microsoft Teams. Responsibilities include troubleshooting meetings, calls, chat, users, policies, devices, and applications; managing tickets and service levels; administering Teams accounts, teams, channels, memberships, settings, and apps; maintaining platform availability, security, governance, capacity, and documentation; supporting change and problem management; escalating complex issues; and training users and administrators.

Lead Java Developer responsible for designing, developing, and maintaining enterprise software using Java, Angular, JavaScript, Spring Boot, ORM frameworks, and databases. The role contributes to Agile ceremonies, DevOps automation, testing, deployment, technical documentation, and cross-team delivery in a fast-paced banking and finance environment.

Designs Azure architectures and produces Low-Level Design documents, reviews requirements with customers, and builds Azure environments using Bicep-based infrastructure as code. Ensures security, governance, networking, identity, monitoring, and Azure best-practice compliance. Supports environment validation and handover to delivery teams while collaborating with project teams and customers.

Leads end-to-end delivery of complex enterprise data center projects, managing plans, budgets, risks, resources, stakeholders, vendors, compliance, and technical execution. Coordinates networking, security, operations, procurement, and infrastructure teams while guiding scalable, secure solutions across compute, storage, and networking. Ensures adherence to governance and regulatory standards, develops operational policies, and drives process improvements, disaster recovery readiness, and adoption of technologies that improve data center efficiency and reliability.

Define and implement DevSecOps monitoring solutions covering metrics, alerts, automated incident creation, and distributed tracing. Integrate infrastructure-as-code scripts, tune alerting to reduce noise, improve system reliability and performance, and configure observability tools such as OpenTelemetry and Jaeger. The role supports Azure DevOps, Ansible, Terraform, SonarQube, JFrog Artifactory, ServiceNow, and Windows/Linux environments. This is an onsite position for Dublin-based candidates with immediate availability.

Designs and builds large-scale batch and real-time data pipelines using Spark, Airflow, Kubernetes, Hadoop, and cloud platforms. Develops data cleansing, standardization, quality monitoring, and DataOps practices, including CI/CD, testing, orchestration, and monitoring. Optimizes processes, troubleshoots production issues, migrates on-premises workloads to the cloud, and drives technology innovation. Leads data engineering teams, develops data strategies, manages stakeholders, and delivers cloud-native data architectures.