Top Tech Jobs & Startup Jobs in Dublin

Develop and maintain API-based integrations and cloud-native Azure services. Build workflow automation, identity lifecycle processes, data synchronization, CI/CD pipelines, and Terraform infrastructure. Troubleshoot APIs, Azure services, and data sources while documenting integrations and scripts. The role requires Python or C#, Azure integration expertise, secure authentication knowledge, relational database experience, and familiarity with deployment automation.

Lead connectivity lifecycle for data center and PoP sites: assess site feasibility, design fiber pathways and POE/MMR layouts, manage carrier relationships and commercial negotiations (IRUs, leases), maintain geospatial/fiber documentation (KMZ/KML), and coordinate cross-functional delivery with procurement, construction and engineering teams across the region.

Design, implement, and operate the Virtual Private Cloud control and data planes. Improve performance, reliability, automation, and cross-service interactions. Develop networking features, perform load testing, and write high-performance code for cloud networking services.

Lead benchmarking and profiling of GPU platforms for ML/AI workloads. Profile system and kernel-level GPU performance, debug and optimize ML training and inference, perform acceptance testing of GPU clusters, run experiments across GPU configurations and interconnects, and develop tooling and dashboards to visualize performance and bottlenecks.

Lead reliability and observability for compute nodes running VMs. Debug Linux user/kernel issues, troubleshoot CPU/memory/NUMA/cgroups, operate QEMU/KVM and container tech, design node-level metrics/logs/traces/SLIs/SLOs, run incident response and collaborate across platform, kernel, GPU and infrastructure teams.

Lead performance analysis and optimization of large-scale GPU/HPC clusters across hardware and software stacks. Troubleshoot real workloads, qualify and integrate new hardware, tune system configurations (networking, virtualization, kernel), support escalations, and collaborate with infrastructure teams and hardware vendors to ensure cluster performance meets expectations.

Maintain and scale DevTools SRE systems: improve user-facing developer workflows, build fault-tolerant self-healing architecture, optimize performance, modify open- and closed-source tools (GitLab, TeamCity), and support users while measuring improvements via metrics.

Own the vision and backlog for Nebius storage services (block, file, parallel/HPC, object). Define technical requirements (data paths, consistency, replication, erasure coding), make performance/durability trade-offs, coordinate cross-team initiatives, and ensure storage meets durability, availability, scalability, and cost targets for AI/ML and HPC workloads.

Lead development of data center and AI infrastructure projects from executed agreement through construction readiness. Own roadmaps, schedules, budgets, risk registers, permitting, utility coordination, and stakeholder alignment. Deliver development-ready projects to Delivery with complete documentation, readiness gates, and minimized risk while building repeatable standards and governance for future projects.

Manage server and rack-level production projects for AI datacenter infrastructure, overseeing procurement, vendor coordination, and logistics for timely deployment.