Top Linux Jobs in Dublin

Design, build, and operate traffic management and routing systems for eBay’s large-scale commerce platforms. Develop high-performance services using Java, C++, or Go; deploy and troubleshoot Kubernetes workloads; improve security, latency, throughput, and reliability; and use observability tools for production diagnosis. Collaborate with SRE, platform, and application teams on distributed systems and networking solutions.

Operate and evolve GIPHY’s cloud, CDN, Kubernetes, and CI/CD infrastructure at internet scale. Improve reliability, scalability, deployment safety, developer experience, and cost efficiency. Design multi-region Kubernetes environments, troubleshoot complex production incidents across infrastructure layers, and apply observability, automation, infrastructure as code, and AI-assisted engineering practices. Partner with development teams to resolve issues and drive upgrades, patching, optimization, and technical debt reduction.

Design, build, scale, and operate Elastic’s multi-cloud platform infrastructure. Develop software, tooling, and automation for reliability, Kubernetes operations, and SaaS services. Lead initiatives that improve system engineering, incident response, alerting, problem management, and customer impact prevention. Collaborate across distributed teams, participate in follow-the-sun on-call rotations, and mentor colleagues while driving operational excellence.

Leads complex enterprise cyber investigations and incident response from detection through recovery. Conducts host, network, cloud, identity, and SaaS investigations; performs threat hunting and compromise assessments; develops containment and remediation strategies; briefs executives and boards; partners with legal, compliance, privacy, and audit teams; improves security capabilities through lessons learned and AI-assisted workflows; and participates in 24/7 on-call coverage.

Hands-on senior engineer building Kubernetes Operators, controllers, CRDs and automation in Go. Automate provisioning, upgrades, scaling, recovery, and configuration; improve reliability, observability, and security; contribute to CI/CD, GitOps, Helm, and infrastructure automation; integrate across cloud and on-prem Kubernetes environments; mentor engineers and establish engineering standards.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

The role involves developing and managing distributed storage systems, ensuring reliability, and optimizing infrastructure performance. Responsibilities include defining SLOs and participating in an on-call rotation.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Develop and maintain infrastructure for rapid software prototyping and deployment across cloud, private cloud, and bare-metal environments. Manage servers and Kubernetes clusters, configure GPU systems for large language models, optimize performance, build monitoring and alerting, and advise on localized data-center deployments. The role also requires software engineering, Linux administration, security awareness, automation, and collaboration across international teams.

Provides advanced technical support for backend, integration, database, configuration, and performance issues in cloud and self-hosted environments. Troubleshoots Java web applications, APIs, databases, Linux systems, networking, Kubernetes, and customer environments. Investigates logs, queries, metrics, and application behavior; develops scripts and workarounds; reproduces and documents defects; supports escalations and on-call incidents; and collaborates with Engineering and Product on resolutions and documentation.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Designs, operates, and improves highly available cloud infrastructure for blockchain services across AWS, GCP, and Azure. Responsibilities include managing Kubernetes clusters and autoscaling with Karpenter, building Terraform infrastructure, developing CI/CD pipelines, operating Kafka, Redis, and NGINX, automating with Golang and Python, and improving observability, reliability, security, and disaster recovery. The role also involves production troubleshooting, incident response, on-call participation, and collaboration with software engineering teams.

Lead cybersecurity incident response engagements, investigate intrusions through host and network forensics, hunt threats across large datasets, and develop remediation plans. Conduct investigations under outside counsel, analyze Windows, macOS, and Linux environments, and communicate findings to executives, regulators, and legal stakeholders. Contribute industry thought leadership through publications and presentations while completing technical work independently and applying AI to improve workflows and decision-making.

Designs and manages highly available AWS infrastructure, Azure DevOps CI/CD pipelines, container platforms, and Infrastructure as Code. Supports Windows and Linux production systems, automates operational tasks, and implements monitoring, logging, alerting, and reliability practices. Leads incident response, root cause analysis, performance tuning, capacity planning, deployment strategies, and platform modernization while collaborating with development, security, and application teams. The role includes on-call responsibilities and mentorship.

Develop and evolve a scalable database tooling platform used by internal engineering teams. Responsibilities include designing reliable software and APIs, supporting cloud-based database deployments, collaborating across teams, reviewing code and designs, mentoring engineers, and assisting customer-facing teams. The role focuses on Python-based tooling, MySQL and NoSQL databases, Kubernetes, Redis, and large-scale production services.

Design, build, and operate core platform services to improve availability, scalability, latency, and cost efficiency. Develop platform primitives (infra, databases, queuing), enable developer experience, and implement tooling for observability, self-healing, configuration-as-code, and cost optimization.

Senior security researcher responsible for large-scale data collection and analysis, operating and building honeypots, performing vulnerability research and reverse engineering, developing automated tooling and GenAI/LLM workflows, collaborating with intelligence teams, reproducing vulnerabilities, and publishing technical research.

Designs and governs enterprise-grade, secure, scalable technical solutions aligned with business needs and target architecture. Translates requirements into architecture artifacts, leads technology selection, guides development teams, reviews designs and code, manages technical risks, supports project planning, and oversees third-party deliverables. The role also refines technical architecture, ensures documentation and standards compliance, supports cloud-native and full-stack solutions, and provides technical leadership across public-facing and internal systems.

Technical Services Engineer at MongoDB will help customers solve complex database problems, conduct software development for support tools, and mentor new team members while working on database configurations and performance.

Own a portfolio of enterprise accounts, guiding customers from deployment to measurable value across SUSE’s Linux, cloud-native, edge, and AI solutions. Develop customer success plans, drive adoption, retention, renewals, and expansion, build executive relationships, and coordinate Support, Consulting, Engineering, Training, and Sales teams. Translate customer health insights into internal product and go-to-market improvements. The role requires fluent German and English, DACH enterprise experience, commercial judgment, and 5–10% travel.

Develop and maintain web-service features, design backend APIs and business logic, review code, and improve production infrastructure reliability, redundancy, and resilience. The role requires strong programming, database design, web-service API, AWS, Linux, Docker, Kubernetes, and continuous deployment experience, along with communication, analytical, and teamwork skills.

Provide expert, customer-facing technical support for MongoDB ecosystems (server, drivers, cloud, infrastructure). Diagnose and resolve architecture, performance, recovery, security, and scalability issues; build support tools; mentor new hires; liaise with product and engineering on customer needs.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

Leads and develops a global Incident Response team while overseeing complex forensic investigations, ransomware and cyber extortion engagements, recovery efforts, customer communications, quality assurance, operational metrics, process standardization, and strategic program growth. Provides senior technical escalation support across Windows, Linux, macOS, Azure, AWS, and Google Cloud environments, while managing resources, stakeholder relationships, and on-call responsibilities.

Provide technical support and engineering guidance for customers running mission-critical MongoDB workloads. Troubleshoot architecture, performance, recovery, and security issues; lead investigations to resolution; collaborate with Product and Engineering; build tools, documentation, and training; mentor peers and improve technical practices.