Top Linux Jobs in Dublin

Design, build, and operate enterprise-scale infrastructure platforms; write and review production code; own reliability, performance, security, and cost; run on-call rotations and respond to incidents; use AI-native engineering practices to accelerate development and automation; collaborate on technical decisions and decompose ambiguous problems into production-ready systems.

Provides post-implementation technical support to enterprise customers using SUSE technologies. Troubleshoots and resolves issues, develops customer relationships, learns customer environments, proactively prevents problems, and coordinates internal resources for tailored solutions. The role requires expertise in Linux, Kubernetes or container platforms, enterprise solutions, application delivery, and networking, along with strong analytical, communication, and customer-service skills. Fluency in German and English is required, and occasional work outside standard business hours may be necessary.

Lead development of scalable streaming and aggregation solutions using Java, Spark, Scala, Kafka, Hive and Hadoop. Design and implement microservices with Spring Boot, Go and web services (SOAP/REST). Work with RDBMS (Oracle) and NoSQL, CI/CD pipelines, and Linux/UNIX environments. Produce documentation, collaborate across teams, and communicate progress to leads and senior management.

Lead development of scalable streaming and aggregation solutions using Java, Go, Spark, Scala, Kafka and Hadoop ecosystem. Design and implement microservices and web services, work with RDBMS/NoSQL data, apply CI/CD, ensure application security, collaborate across teams, and produce documentation and architecture artifacts.

Lead development of scalable streaming and aggregation solutions using Java/Go, Spark/Scala, Kafka and Hadoop ecosystem; build microservices with Spring Boot, integrate relational and NoSQL data stores, follow CI/CD and Agile practices, document designs, and ensure application security.

Design, build, and maintain scalable streaming and aggregation solutions using Java, Go, Spark, Scala, Kafka, Hive and Hadoop. Develop microservices and web services (SOAP/REST) with Spring, interact with relational (Oracle) and NoSQL stores, implement CI/CD pipelines, ensure application security, produce documentation, and collaborate across teams through the software development lifecycle.

Lead development of scalable streaming and aggregation solutions using Java, Go, Spark, Scala, Kafka, Hive and Hadoop. Build microservices with Spring, integrate RDBMS and NoSQL, implement CI/CD and application security, collaborate across teams, and document systems for knowledge sharing.

Lead design and implement scalable streaming, aggregation and microservice solutions using Java, Go, Spark, Scala, Kafka and Hadoop ecosystem. Build APIs (SOAP/REST), work with RDBMS and NoSQL, apply CI/CD and application security, collaborate across teams, and produce technical documentation.

Lead the design and delivery of scalable streaming and aggregation solutions using Java, Go, Spark, Kafka and Hadoop. Build microservices with Spring Boot, integrate distributed and relational data stores (Oracle/NoSQL), apply CI/CD and Agile practices, ensure application security, create technical documentation, and collaborate across teams to meet project objectives.

Lead development of scalable streaming and aggregation solutions using Java, Spark, Scala, Kafka, Hive and Hadoop. Design and implement microservices and web services (SOAP/REST) with Spring, integrate distributed and relational data stores, apply CI/CD and Agile practices, ensure application security, collaborate across teams, and produce documentation and architecture diagrams.

Lead design and implement scalable streaming, aggregation, and microservices solutions. Develop backend services using Java and Go, data pipelines (Spark/Scala/Kafka/Hive/Hadoop), and RDBMS/NoSQL integrations. Collaborate across teams, produce documentation, follow Agile CI/CD processes, and ensure application security in Linux/UNIX environments.

Lead development of scalable streaming and aggregation solutions using Java/Go, Spark/Scala, Kafka, Hive/Hadoop. Build microservices with Spring, REST/SOAP, integrate RDBMS (Oracle) and NoSQL, apply CI/CD, Linux operations, and application security. Collaborate across teams, document designs, and communicate progress to leads and management.

Build and maintain scalable production data pipelines, machine learning data pipelines, and data transformation frameworks for financial crime detection solutions. Collaborate with product, R&D, data, analytics, customers, and partners; optimize large-scale data architectures; support feature engineering and root cause analysis; and train customer teams. The role requires customer-facing collaboration, English and Spanish fluency, and domestic and international travel when needed.

Partner with sales to qualify and close opportunities by delivering technical presentations, demos, and proof-of-concepts. Provide technical expertise during pre-sales, assist onboarding and troubleshooting, gather customer feedback for product, and collaborate across teams to resolve issues. Support customers and partners while traveling up to 25% and communicating fluently in Spanish and English.

Provide deep technical support to customers and partners for MongoDB deployments: troubleshoot architecture, performance, recovery, and security; advise on best practices; collaborate with product and engineering teams; contribute to tooling and diagnostics; mentor new engineers and work closely with ISV partners to ensure joint customer success.

Monitor product and infrastructure health, investigate alerts using Grafana and Zabbix, perform first-level Linux and Windows troubleshooting, follow runbooks, resolve or escalate incidents, and support senior administrators during major incidents. The role includes rotating day and night shifts, independent duty coverage after onboarding, and collaboration with a distributed team.

Provide advanced technical support to large MongoDB customers, resolving architecture, performance, recovery, security, database, cloud, and infrastructure issues. Advise customers on best practices for operating MongoDB at scale, collaborate with product and development teams, and build internal support tools for diagnostics, benchmarking, and performance analysis. The role requires strong troubleshooting, communication, customer service, teamwork, and the ability to learn quickly.

Provides first- and second-line IT support for a Dublin office, troubleshooting Windows, macOS, Linux, hardware, peripherals, networking, and applications. Manages service desk tickets, device lifecycles, assets, development kits, endpoint management, patching, and vulnerability remediation. Documents processes in Confluence, supports developers, investigates issues using SSH and diagnostic tools, and coordinates escalations with the Bristol infrastructure team. The role requires independent ownership of the local IT environment and practical service improvements.

Provides Tier 3 technical support for Arista networking products and protocols. Troubleshoots hardware, software, installation, compatibility, and operational issues; recreates problems in a lab; recommends corrective actions; and documents recurring issues. The role communicates directly with customers and collaborates with software and hardware engineering teams to diagnose and resolve complex networking problems while supporting product quality and development.

Design, build, and maintain automation, monitoring, and CMDB integrations for large-scale physical security and network infrastructure. Implement IaC, automated remediation, custom exporters, patching pipelines, SLO/SLI enforcement, runbooks, and participate in 24x5 on-call rotation to ensure resilience and reduce operational toil.

Design, build, and maintain Chromium-based browser components in C++ across multiple layers. Harden browser isolation and network infrastructure using networking and HTTP security expertise. Build AI agent and MCP integrations, develop supporting tools in Python or Rust, and deploy cloud infrastructure with AWS, GCP, Kubernetes, and Terraform. Optimize high-scale systems and collaborate with product, security, and AI teams.

Leads the design, development, and maintenance of high-performance network traffic solutions. Optimizes caching and Points of Presence, develops applications in C/C++ and Go, manages Kubernetes-based systems, and strengthens network security and observability. Collaborates across teams, mentors engineers, and contributes to open-source projects and patented innovations.

Build, operate, and improve secure, scalable AWS infrastructure for the ELN Platform. Responsibilities include infrastructure-as-code, automation, observability, monitoring, incident response, cloud security, reliability improvements, troubleshooting, peer code reviews, and collaboration with engineering, security, and DevOps teams.

Lead Infrastructure Engineer designs, implements, and modernizes infrastructure for performance, resiliency, and security. Responsibilities include cloud and on-prem migrations, Kubernetes and cloud-native app administration, data streaming (Kafka/Event Grid/Service Bus), scripting and CI/CD automation, AI-assisted infrastructure analysis, and cross-functional collaboration to deliver traceable, auditable infrastructure changes.

Develop and optimize GPU clusters and InfiniBand networks for hyperscale HPC environments. Responsibilities include troubleshooting hardware and infrastructure issues, integrating new GPUs through Kubernetes, QEMU, and KVM, managing GPU devices and InfiniBand fabrics, tuning performance, and improving automated monitoring and fault resolution.