Top Linux Jobs in Dublin

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.

Develop software for high-performance networking hardware and embedded Linux systems. Responsibilities include writing C/C++, Go, and Python code; implementing routing protocols and configuration services; programming ASICs, FPGAs, and hardware interfaces; reconciling kernel and switch forwarding states; and building automated testing systems for large-scale network devices.

The Senior CloudOps Engineer will manage and enhance cloud infrastructure on AWS, automate processes, optimize performance, troubleshoot issues, and work collaboratively with cross-functional teams.

Drive technical sales and application modernization for mid-market customers using Azure application and data platforms. Lead architecture sessions, demonstrations, proofs of concept, migration assessments, and modernization workshops. Recommend application and database destinations based on cost, scalability, security, compliance, operations, and developer velocity. Design hybrid and cloud-native architectures, resolve technical blockers, collaborate with engineering and partners, and advise stakeholders on Azure services, containers, databases, networking, and enterprise modernization.

Develop and modernize a large-scale full-stack web application for PlayStation’s global DevNet portal. Build cloud services using Go, TypeScript, and AWS; create front-end experiences; contribute to architecture, planning, debugging, code reviews, and agile delivery. The senior engineer will provide technical direction, mentor teammates, collaborate internationally, and help improve engineering practices and development processes.

Develop and enhance cloud infrastructure applications for reliability, scalability, and availability. Deploy and operate cloud-native services using Kubernetes and Linux-based internet infrastructure technologies. Implement monitoring, alerting, incident response, root cause analysis, and corrective actions while ensuring security and operational compliance. Collaborate with internal teams to deliver infrastructure solutions in a large-scale, high-traffic environment.

Develop and maintain Layer1 networking software controlling physical connectivity components, including PHYs, transceivers, optics, and gearboxes. Design features, instrumentation, telemetry, automated tests, and hardware control interfaces using C, C++, and Python. Troubleshoot customer and system-test issues, optimize performance, lead projects, collaborate with hardware and manufacturing teams, and mentor junior engineers.

Design and implement software for Arista’s network operating system and OpenConfig team. Responsibilities involve architecting distributed systems, developing programmable data-center infrastructure, applying software-defined networking principles, and building reliable Linux-based networking solutions. The role requires strong algorithms, software architecture, computer science fundamentals, and hands-on product engineering experience using C or C++.

Design and develop Kubernetes controllers, operators, APIs, and custom resources that automate platform services across hybrid cloud and on-premises environments. Build workload placement and reconciliation systems, improve platform reliability and scalability, investigate production issues, and collaborate with distributed platform teams. The role requires software engineering experience with Go or another modern language, Kubernetes development, Linux, distributed systems, and production infrastructure.

A 12-week Digital Skills Academy provides technology, consulting, and professional training in areas including AI, Linux, web development, cloud, Java, and design thinking. Participants receive mentoring, certifications, and a training allowance, with successful graduates potentially progressing to permanent Associate Consultant roles supporting customer projects. The programme is open to STEM graduates, career changers, returners, and people with technical skills.

Design, develop, test, debug, and scale engineering productivity tools and infrastructure. Collaborate with software engineers to identify and resolve workflow, tooling, and infrastructure bottlenecks. Support CI/CD, testing, analysis, visualization, and observability systems while owning projects from definition through deployment and ensuring delivery quality.

Build, deploy, and operate scalable, reliable, observable, and secure production systems. Develop infrastructure automation, monitoring, alerting, incident response, and staged deployment processes. Diagnose infrastructure issues, conduct postmortems, optimize platforms, manage maintenance windows, and collaborate with software engineering and external support teams. The role requires strong Linux administration, infrastructure-as-code, production operations, troubleshooting, and automation skills, with experience in cloud platforms, Kubernetes, Docker, monitoring, CI/CD, and distributed systems preferred.

Diagnose and rework test failures, lead debug efficiency and continuous improvement, develop training, maintain documentation, analyze data, identify root causes, and implement corrective actions. The role collaborates with production, quality, test, and manufacturing teams while coaching technicians and supporting robust solutions to test-case failures in an electronic manufacturing environment.

Design, build, deploy, operate, and optimize large-scale distributed messaging, streaming, caching, and NoSQL platforms. Develop software modules, client libraries, observability tools, alerts, and automation across Kubernetes, private cloud, AWS, and GCP environments. Support production operations, resiliency, performance tuning, security, compliance, disaster recovery, and on-call activities while leading platform features from conception through maintenance.

Principal Data Scientist leading advanced data science, machine learning, Generative AI, predictive modeling, and cloud migration initiatives for insurance products. Responsibilities include building production data pipelines and ML workflows, developing predictive models, deploying data products, supporting Azure and Databricks infrastructure, ensuring model governance, and collaborating with product, technology, and data engineering teams. The role also requires technical leadership, stakeholder communication, mentoring, innovation, and translating complex analytical results into business value.