Top Engineering Jobs in Dublin

Leads security engineering teams and technical areas across enterprise technology. Oversees security solutions for cloud applications and infrastructure, complex cross-functional initiatives, staffing, budgets, governance, and operational outcomes. Establishes standards for secure AI-assisted workflows, evaluates AI recommendations, and ensures auditability, resiliency, and data protection. Requires expertise in threat modeling, vulnerability management, application security, cloud security engineering, talent development, and security product delivery.

Build and operate secure, scalable multi-cloud platform infrastructure supporting AI and agentic AI workloads. Develop Terraform modules, CI/CD pipelines, GitOps workflows, Kubernetes platforms, autoscaling, observability, access controls, and self-healing automation across AWS, Azure, and GCP. Maintain platform services, enforce compliance guardrails, improve reliability and cost efficiency, contribute to architecture, and mentor engineering teams in regulated environments.

Leads Equipment Technology engineering cells through pharmaceutical capital projects, overseeing design, facility fit, commissioning, validation, schedules, deliverables, cash flow, safety, compliance, and stakeholder coordination. Provides DeltaV expertise and hands-on C&Q support while managing engineers, A&E and construction relationships, and fostering safety and community-focused team cultures.

Leads 2K’s global data engineering strategy, telemetry architecture, cloud infrastructure efficiency, ML Ops enablement, and proactive modeling capabilities. Oversees high-scale distributed data systems, streaming telemetry, feature pipelines, FinOps, and operational excellence. Builds partnerships across studios and executive teams while hiring, mentoring, and developing a world-class engineering organization.

The Global Head of Solutions Engineering will lead the Workvivo solutions engineering function at Zoom. The posting provides limited role-specific responsibilities, but the position appears focused on supporting enterprise collaboration solutions and customer-oriented technical engagement within Zoom’s global organization.

Lead a small senior engineering team to design, build, and operate enterprise-scale infrastructure platforms. Own architecture, production code, on-call incident response, observability, and AI-native engineering practices. Drive automation, set engineering standards and guardrails for agentic AI, measure outcomes, and partner with stakeholders to ensure reliability, security, and cost-effectiveness.

Leads engineering, facilities, utilities, capital projects, capacity expansion, and operational excellence across sterile pharmaceutical manufacturing sites. Ensures GMP, regulatory, safety, environmental, quality, and audit readiness requirements. Manages CAPEX and OPEX budgets, standardizes engineering practices, improves asset performance, supports automation and plant upgrades, and partners with manufacturing and quality teams. Develops engineering leaders through mentoring, training, succession planning, and cross-site career development.

Lead Toast’s Dublin-based OLAP Platform engineering team, defining technical strategy, scaling real-time analytics infrastructure, improving performance and cost efficiency, and establishing governance for AI-driven consumers. The role involves cross-team roadmap alignment, developer experience ownership, operational metrics and monitoring, incident prevention, and mentoring engineers while fostering an inclusive, high-ownership culture.

Leads enterprise AI engineering strategy, architecture, and adoption across digital products. Builds and manages an AI engineering team, establishes reusable platforms and development patterns, and guides production AI systems including LLM applications, agents, RAG, observability, governance, and digital twins. Partners with Product, Data Science, and Core Technology teams to deliver secure, scalable, cost-effective, and compliant AI capabilities while coaching engineers and influencing senior stakeholders.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access requests. Implement least-privilege access, audit trails, data minimization, and approval gates. Partner with Legal and Operations to translate requirements into secure, auditable, and operator-friendly systems. Own production reliability, testing, observability, and incident response while defining reusable privacy infrastructure.

Leads Data and Storage Reliability Engineering for large-scale SaaS environments. Responsibilities include reliability strategy, observability, diagnostics, automation, capacity planning, incident root-cause analysis, resilience validation, risk reduction, and platform improvement. Manages and develops engineering teams, partners with production and software engineering groups, supports customer-critical escalations, and converts operational insights into durable engineering solutions.

Leads component engineering for energy system products across the full product lifecycle. Selects and approves electronic, electrical, and electromechanical components; manages obsolescence, sourcing, qualification, reliability, compliance, cost, and supply-chain risks. Partners with architecture, hardware, software, manufacturing, quality, sourcing, and reliability teams on design reviews, production readiness, root-cause investigations, technology roadmaps, and sustaining engineering. Provides technical leadership, mentors engineers, and drives cost, quality, reliability, and manufacturability improvements.

Own registration and attendance growth across a portfolio of conferences, roadshows, workshops, roundtables, and other events. Build audience growth loops, segment communities using HubSpot and Luma, manage event pages, plan campaigns, coordinate paid and lifecycle marketing support, and develop repeatable playbooks that increase attendance and audience retention. Collaborate with design and content teams and travel occasionally to event cities.

Engineering Manager responsible for leading a software engineering team, managing sprint planning and delivery, maintaining engineering quality standards, mentoring engineers, identifying risks, and partnering with Product, Design, and the Director of Engineering. This player-coach role requires technical leadership, experience with Bubble.io or low-code platforms, agile delivery expertise, and support for hiring and onboarding as the company grows.

Build and own automated testing frameworks, CI/CD infrastructure, load and stress testing, and chaos engineering practices for a brokerage platform. Write primarily Go, integrate AI and LLM tooling into quality workflows, investigate application and Kubernetes failures, improve developer tooling, and mentor engineers on reliability and test coverage.

Owns end-to-end product and engineering strategy for Mews' Back of House domain. Leads globally distributed engineering teams, builds the management structure, develops senior talent, and improves reliability, performance, and technical debt without disrupting delivery. Determines where AI should be integrated into the product and ships AI-driven improvements. Requires VP-level product and engineering ownership, SaaS scaling experience, strong people leadership, and hands-on experience shipping AI as a core product capability.

Leads global AI-first MarTech engineering strategy, architecture, governance, compliance, and delivery. Oversees scalable digital platforms, public-facing properties, GenAI applications, R&D, proof-of-concepts, and automated compliance capabilities. Builds and mentors a global team of engineering and AI professionals, manages vendors, and partners with marketing, business, cloud, security, privacy, infrastructure, and legal stakeholders to deliver secure, high-performance digital experiences.

Serve as GA4/GBQ/GCP SME to design, implement, and govern scalable analytics integrations and data pipelines. Lead stakeholder engagement, drive measurable business impact, oversee GA4 configuration, data quality, reporting (Looker Studio), and provide strategic guidance on digital measurement, architecture, and cloud analytics.

Design, build, and operate Cast AI’s internal developer platform, including CI/CD pipelines, GitOps, observability, local development tooling, Kubernetes infrastructure, and cloud systems. Reduce engineering friction, troubleshoot complex production issues, contribute to platform strategy, and participate in on-call rotations. The role requires strong Go and systems engineering skills, project ownership, performance tuning, and comfort with ambiguity.

Lead engineering for Nuitee’s Pricing & Revenue domain, owning technical direction, architecture, reliability, and delivery. Manage and grow a small engineering team while remaining hands-on with backend systems, distributed architecture, pricing engines, supplier connectivity, marketplace optimization, and automated rebooking. Collaborate with Product and Trading to translate commercial challenges into scalable engineering solutions that improve pricing, availability, fulfilment, performance, and margin.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Leads a multidisciplinary mechanical and electrical design organization supporting chiller product development, enhancements, and sustaining engineering across EMEA. The role oversees design standards, resource planning, PLM and engineering data processes, manufacturing collaboration, quality, compliance, and continuous improvement. It develops local engineering capabilities, strengthens global collaboration, and ensures manufacturable, scalable, high-quality engineering outputs. Responsibilities include people leadership, organizational growth, design governance, engineering change management, and support for manufacturing sites in France and Turkey.

Leads an enterprise data engineering team, overseeing people development, delivery planning, technical architecture, production reliability, and operational support. Guides scalable batch and streaming pipelines, ETL/ELT, data products, integrations, governance, testing, CI/CD, monitoring, and incident response. Partners with engineering, platform, security, architecture, and business stakeholders to deliver secure, reusable, high-quality data capabilities across enterprise domains.

Lead and grow a multidisciplinary computer vision engineering team while remaining hands-on with code and architecture. Set technical direction for production computer vision, deep learning, edge deployment, real-time video processing, and vision-language models. Own delivery from scoping through deployment, coordinate cross-functional dependencies, improve development and release workflows, and resolve production detection-quality issues. Hire, coach, establish engineering standards, and connect model quality to customer outcomes.