Top DevOps Engineer Jobs in Dublin

Manage Azure cloud platforms and databases across development, testing, and production environments. Build and maintain backend Node.js APIs, support frontend developers, and ensure the reliability and security of cloud-hosted applications. Responsibilities include CI/CD, deployment and maintenance, production issue resolution, database design, and Azure infrastructure implementation involving VPNs, firewalls, IPsec tunnels, and Private Link.

Designs and manages AWS and Kubernetes infrastructure, CI/CD pipelines, monitoring, and DevSecOps processes. The role applies infrastructure as code, cloud security, vulnerability management, incident response, and compliance practices. It also supports AI/ML workload deployment, AI-assisted engineering, responsible AI guardrails, and automated monitoring. Candidates should have 8+ years of experience maintaining high-traffic applications and complex cloud infrastructure, with strong AWS, Kubernetes, security, automation, and scripting expertise.

Design, build, and scale AWS cloud infrastructure and AI-enabled systems. The role owns CI/CD pipelines, containerized and serverless applications, data pipelines, security, disaster recovery, high availability, automation, testing, and operational documentation. It collaborates with engineering, business, and operations teams to deliver reliable solutions aligned with organizational goals, while participating in Agile practices and evaluating emerging cloud and DevOps technologies.

Build and optimize CI/CD pipelines, release workflows, build systems, source control, configuration management, and deployment infrastructure across multiple platforms. Manage microservice deployment lifecycles, improve reliability and security, troubleshoot infrastructure issues, and collaborate with engineering, QA, and production teams in a remote game development environment.

Build and maintain scalable infrastructure across cloud and edge environments. Responsibilities include implementing CI/CD pipelines, designing observability systems, improving reliability and uptime, supporting globally distributed deployments, maintaining development-to-production parity, managing Kubernetes, Terraform, ECS, databases, and AWS services, and applying cloud security and compliance best practices.

Develop and maintain Ripple’s multi-region, multi-provider infrastructure and platform services. Build automation, monitoring, instrumentation, CI/CD pipelines, and lifecycle services while improving deployment reliability, scalability, security, and operational efficiency. The role partners with engineering teams to adopt DevOps practices, manage Kubernetes and cloud infrastructure, operate production systems, and automate environment provisioning, testing, and releases.

Build, automate, secure, and operate cloud platforms supporting enterprise generative AI, LLM, RAG, and agent-based solutions. Develop Terraform infrastructure modules, CI/CD and GitOps pipelines, Kubernetes platforms, secure runtime patterns, AI integrations, observability, evaluation controls, and self-service capabilities. Partner with AI, application, data, security, privacy, risk, and architecture teams to move AI solutions from proof of concept to reliable, governed production services.

Design and operate scalable customer sandbox environments, automating access policies, timed evictions, teardown, resource tagging, subscription tiering, quota monitoring, dashboards, and alerts. The role collaborates with product, support, and engineering teams to improve DevOps workflows, enforce security and licensing policies, and optimize cloud resource usage.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Build and maintain production systems, engineering tools, CI/CD and release automation, testing infrastructure, and foundational engineering platforms. Investigate scalability bottlenecks and production incidents, automate system administration and integrations, and collaborate with QA and development teams. Provide mentorship, share knowledge, capture requirements, and improve engineering processes across the company.

Designs and supports a secure AWS managed file transfer platform for a financial services partner. Responsibilities include BGP routing over redundant IPsec VPNs, isolated VPC and Transit Gateway environments, S3 integration, infrastructure as code, security controls, monitoring, recovery processes, migration, documentation, testing, and production support. The engineer coordinates delivery with partner, security, network, application, and platform teams.

Establish and lead network Infrastructure as Code and DevOps practices across a global enterprise network. Build reusable Python and Go automation with Terraform, Ansible, APIs, CI/CD pipelines, testing, drift detection, policy enforcement, and controlled rollouts. Modernize existing services, reduce configuration drift and operational risk, support complex changes and incidents, influence architecture and governance, and mentor engineers while maintaining hands-on responsibility for enterprise networking.

Designs and operates production-grade Amazon EKS platforms across AWS and on-premises environments. Responsibilities include hybrid Kubernetes networking, autoscaling with Karpenter, Bottlerocket lifecycle management, EMR-on-EKS workloads, GPU infrastructure for AI and voice inference, GitOps deployment, security policy enforcement, infrastructure as code, observability, disaster recovery, and operational documentation.

Designs, deploys, secures, and manages enterprise-scale Microsoft Azure infrastructure. Responsibilities include cloud governance, IAM, networking, Azure Virtual Desktop, Windows 365, Dynamics 365 support, CI/CD integration, Infrastructure as Code, scripting automation, cost optimization, monitoring, troubleshooting, documentation, and executive reporting. The role collaborates with development, infrastructure, security, business, directory services, and outsourced supplier teams.

Design, build, and operate cloud infrastructure and Kubernetes clusters for GPU/ML workloads; implement GitOps, IaC (Terraform), CI/CD, monitoring, automation (Python/Bash), and cost-optimization alongside ML engineers.

Lead architecture and delivery of Twilio's observability platform: design telemetry pipelines, unify logs/metrics/traces, build developer tooling, drive OpenTelemetry adoption, mentor engineers, and ensure scalable, cost-effective observability at platform scale.

Designs, automates, and operates secure, scalable AWS infrastructure using Terraform, CI/CD pipelines, containers, and Kubernetes. Improves observability, reliability, deployment workflows, security, cost efficiency, and incident response. Troubleshoots production issues across infrastructure, applications, networking, and pipelines while collaborating with globally distributed engineering, security, and QA teams. Provides EMEA operational coverage and develops automation using Python, Bash, and AI-assisted tools.

Operate and scale internal engineering infrastructure and CI/CD platforms; build automation to reduce toil; ensure observability, reliability, and security; manage incidents and runbooks; coordinate maintenance and vendor support; collaborate with development teams to improve developer workflows and platform performance.

Own and evolve cloud infrastructure across AWS/GCP/Azure, build CI/CD and containerized deployments, design multi-tenant environments, implement monitoring and IaC (Terraform/Ansible), lead data protection and threat detection, and support compliance and security audits.

Support engineering teams by optimizing a high-frequency trading platform, enhancing developer experience, and implementing new technologies for performance improvement.