Top Linux Jobs in Dublin

Design, build, and operate enterprise-scale infrastructure platforms. Write and review production code, diagnose production issues, participate in on-call rotations, apply AI-assisted development, and improve scalability, reliability, security, and cost. Collaborate with stakeholders, decompose problems, measure impact, and contribute to platform-level technical decisions in a greenfield Dublin engineering hub.

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.

Develop and maintain Kubernetes-native platform software in Go, including controllers, CRDs, reconciliation logic, and automation for managed services. Build provisioning, upgrade, scaling, recovery, CI/CD, testing, observability, and security capabilities. Troubleshoot Kubernetes workloads and collaborate with software engineering, SRE, security, and application teams. Contribute to Helm, Terraform, GitOps, and related cloud-native tooling.

Develops Kubernetes-native platform software in Go, including controllers, CRDs, reconciliation logic, and automation for managed service provisioning, upgrades, scaling, recovery, and security. Builds tests and CI/CD workflows, integrates Kubernetes infrastructure capabilities and GitOps tooling, and creates observable, supportable software. Troubleshoots workloads and automation issues while collaborating with software engineering, SRE, security, and application teams.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include direct software development, production support, incident resolution, feature planning, code reviews, vendor and open-source integration, cloud and microservices development, and technical guidance for junior engineers. The role requires collaboration with technical leads, analysts, and business stakeholders while ensuring secure, reliable software delivery.

Lead Software Engineer responsible for developing high-performance, high-volume Java applications and backend and consumer-facing platform features. Duties include production support, feature planning, code reviews, software integration, technical guidance, and collaboration with engineering and business teams. The role requires expertise in Java, Spring, Kafka, SQL, Linux, cloud development, microservices, application servers, and Agile development processes.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include direct software development, production support, incident resolution, feature definition, solution planning, code reviews, and technical guidance for junior engineers. The role requires expertise in Java, enterprise application servers, Spring, Kafka, SQL, Linux, cloud development, microservices, and Agile delivery processes.

Lead development of high-performance Java applications and backend and consumer-facing features for Mastercard’s cybersecurity platform. Responsibilities include designing solutions, supporting production incidents, defining features, conducting code reviews, integrating vendor and open-source products, contributing to cloud and microservices development, and mentoring junior engineers.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include direct software development, production incident support, feature planning, code reviews, technical guidance for junior engineers, and collaboration with technical, business, and systems teams. The role requires expertise in Java, cloud development, microservices, Spring, Kafka, Linux, SQL, and related enterprise technologies.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include software development, production support, feature planning, code reviews, system integration, and technical guidance for junior engineers. The role requires expertise in Java, Spring, Kafka, SQL, Linux, cloud platforms, microservices, and Agile development processes.

Lead development of high-performance Java applications and backend and consumer-facing platform features. Provide direct software development, production support, incident resolution, code reviews, technical guidance, and feature planning. Collaborate with technical leads, engineers, analysts, and business stakeholders to define requirements and deliver cloud-based microservices solutions. Integrate vendor and open-source products while ensuring software quality and security practices.

Lead software engineering for Mastercard’s Cyber Security Services platform, developing high-performance Java applications and backend and consumer-facing features. Responsibilities include production support, incident resolution, feature definition, solution planning, code reviews, and mentoring junior engineers. The role requires expertise in Java, Spring, Kafka, SQL, Linux, cloud development, microservices, application servers, and Agile/SAFe processes, along with experience integrating vendor and open-source products.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Provide direct software development, production support, code reviews, technical guidance, and collaboration with engineering and business teams. Design cloud-based microservices solutions, integrate vendor and open-source products, and contribute to Agile planning and feature development.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include software design, coding, code reviews, production support, incident resolution, technical planning, feature definition, vendor and open-source integration, and mentoring junior engineers. The role requires expertise in Java, Spring, Kafka, Linux, SQL, cloud development, microservices, and Agile delivery practices.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Provide production support, resolve incidents, define features, plan solutions, conduct code reviews, and mentor junior engineers. The role requires expertise across Java, Spring, Kafka, SQL, Linux, cloud platforms, microservices, deployment tools, and Agile development processes.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

Design, build, test, and maintain scalable data engineering solutions, including automated releases, ETL processes, data models, real-time pipelines, monitoring, legacy migrations, and security strategies. Transform raw data using business logic, support machine learning and business intelligence workloads, and produce technical documentation. The role requires extensive experience with cloud platforms, SQL, databases, data warehousing, Spark, Databricks, Airflow, Kubernetes, Docker, Python, and related data technologies.

Develops technical training courses for MongoDB University, including presentations, hands-on exercises, videos, code demonstrations, visualizations, skill checks, and certification questions. Collaborates with curriculum designers, engineers, subject-matter experts, product teams, and marketing. Requires database expertise, programming proficiency, Linux and cloud knowledge, AI tooling experience, and the ability to teach complex technical concepts to broad audiences.

Lead a global Site Reliability Engineering organization responsible for enterprise platform reliability, availability, observability, incident response, automation, cloud modernization, Kubernetes operations, and production readiness. Manage SRE leaders and engineers, establish reliability standards and SLOs, improve release validation and operational excellence, drive infrastructure modernization across AWS, GCP, and Azure, and lead major incident response and continuous improvement initiatives.

Provide Tier 3/4 technical support for Vanta's SaaS platform, resolve complex customer issues, create reproducible test cases, escalate and validate bugs with Engineering, maintain customer documentation, and act as trusted technical contact for Premium Support customers while meeting SLAs and participating in on-call rotations.

Design, build, and maintain scalable backend services for eBay's Cloud Security Segmentation platform. Develop Kubernetes-based control plane services, troubleshoot distributed systems and cloud infrastructure, use CI/CD and automated testing, participate in code reviews and incident response, and leverage AI-assisted engineering tools to improve productivity and reliability.

Lead site reliability engineering for large-scale, internet-facing Salesforce services. Responsibilities include incident command, root cause analysis, postmortems, observability, automation, self-healing systems, AI-powered operational tooling, performance optimization, and SLO governance. The role designs durable workflow platforms, mentors engineers, collaborates with development and product teams, and supports a 24/7 global operations model.

Leads SIE’s global Core Infrastructure organization across networks, cloud and on-premises infrastructure, endpoints, and internal access. Owns infrastructure strategy, multi-year roadmaps, service reliability, security, resilience, automation, operational excellence, investment planning, vendor management, governance, and risk. Directs transformation toward software-defined, self-service, infrastructure-as-code, observable, and autonomous operating models while developing managers and senior technical leaders across a globally distributed organization.

Provide technical support for cloud products, managing customer issues and escalations through Salesforce CRM. Analyze, reproduce, troubleshoot, and resolve software problems while coordinating with partners and internal product teams. Support customers throughout the resolution lifecycle, identify product defects, manage expectations, and help prevent escalations. The role requires Java programming, relational database, operating system, cloud platform, API, and network troubleshooting knowledge, along with fluent French and excellent English.