Top Tech Jobs & Startup Jobs in Dublin

Build, operate, and improve a cloud-native multicloud platform across AWS, GCP, and Azure. Automate deployments, reduce operational toil, establish observability through SLIs and SLOs, support on-call operations, resolve production issues, and define reliability standards for platform services. The role uses Kubernetes and related CNCF technologies while partnering with service teams to qualify systems for production.

Design and build scalable Data Lifecycle Management systems covering retention, archival, tiering, deletion, backup, restore, and migration. Drive technical strategy, architecture reviews, deployment improvements, compliance, risk mitigation, and standardization across engineering teams. Partner with product and infrastructure leaders, provide leadership updates, establish engineering best practices, and mentor engineers.

Own enterprise security engineering across endpoint privilege management, EDR, SSPM, CAASM, application control, and AI tool guardrails. Develop detection and containment automation, monitor telemetry and SaaS configuration drift, validate asset coverage, integrate security signals through APIs, and support threat triage. Mentor engineers, provide escalation support, and create technical runbooks and operational playbooks. The role requires strong enterprise cybersecurity experience, scripting, operating system knowledge, security tooling expertise, and cross-functional communication.

Deploy, configure, debug, and optimize AI agents and integrations in enterprise customer environments. Lead technical discovery, solution architecture, workflow integrations, and live data troubleshooting. Capture customer feedback and convert recurring deployment challenges into scalable product capabilities. Collaborate with Product, Engineering, Services, and account teams throughout six-month deployment cycles, while supporting customer success and product roadmap improvements.

Deploy, configure, debug, and optimize AI agents and integrations in enterprise customer environments. Lead technical discovery, translate business needs into configurations and integration specifications, troubleshoot live data and workflows, and convert recurring deployment challenges into scalable product capabilities. Collaborate with Product, Engineering, Services, and customer stakeholders throughout six-month engagements, while providing field feedback that shapes product roadmaps and engineering priorities.

Provide 24/7 operational support for large-scale MySQL and open-source database environments across cloud and production systems. Participate in on-call rotations, automate reliability and scalability improvements, deploy and evaluate production technologies, and architect database services. Support high-availability workloads, containerized environments, CI/CD pipelines, infrastructure-as-code, replication, clustering, backup and recovery, and capacity management across AWS, GCP, and private cloud platforms.

Lead complex enterprise deployments of Workday AI agents and integrations. Architect, configure, debug, and optimize solutions in live customer environments; translate business needs into product configurations and integration specifications; convert recurring field issues into scalable product capabilities; advise customer executives and internal stakeholders; lead strategic engagements; and mentor other forward deployed engineers.

Own developer productivity and authoring tooling for an enterprise AI Skills platform. Build internal developer platforms, IDE configurations, CLI utilities, linters, validation tools, MCP templates, SDKs, API abstractions, and context-ingestion and retrieval pipelines. Improve AI-assisted development workflows, schema compliance, developer ergonomics, documentation, and productivity metrics while enabling engineers and domain experts to create and publish reliable AI skills.

Build and maintain production AI skills for Workday’s agent platform. Translate domain expertise into structured prompts, MCP tools, API integrations, and deterministic workflows. Develop testing and evaluation frameworks, stress-test edge cases, analyze agent telemetry, detect drift, and improve reliability. Collaborate with subject matter experts, establish authoring standards, review code, and support AI-assisted development using tools such as Cursor and Claude Code.

Own end-to-end authoring and production integration of AI skills for Workday’s agent platform. Translate enterprise domain expertise into deterministic, schema-compliant tools; develop prompts, MCP tool calls, REST API integrations, and structured data transformations. Build automated tests, evaluation datasets, quality gates, telemetry, and drift analysis processes. Collaborate with domain experts, train authors, review skill implementations, and improve reliability through edge-case testing and production trace analysis.