DevOps Engineer

• Design, deploy, and manage enterprise-grade Azure environments (Landing Zones).
• Architect and maintain Azure Kubernetes Service (AKS) or Azure Container Apps.
• Leverage deep working knowledge of Azure PaaS technologies (App Services, SQL Database, Storage Accounts, Service Bus).
• Implement advanced Azure networking (VNet, Private Link, Hybrid Connectivity, ExpressRoute, Firewall).
• Build and maintain large-scale platforms using a code-first approach.
• Develop Infrastructure as Code using Terraform and Azure Bicep (or Pulumi).
• Utilize Azure CLI and Azure PowerShell alongside Bash and PowerShell scripting for automation.
• Design and implement robust CI/CD pipelines using Azure DevOps and/or GitHub.
• Develop automation pipelines for both infrastructure deployments and application delivery.
• Manage branching strategies (GitFlow/GitHub Flow) and artifact repositories.
• Implement monitoring and observability using Azure Monitor, Application Insights, and Log Analytics.
• Define SLIs, SLOs, and lead incident response and Root Cause Analysis (RCA) for customer environments.
• Implement Azure Security Center / Defender for Cloud.
• Manage identity and access management (Azure AD, RBAC, Managed Identities).

Senior DevOps Engineer

• Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners.
• Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases.
• Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools.
• Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points.
• Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects.
• Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps.
• Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
• Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows.

AI Deployment Engineer, Cyber

• Design, implement, and evolve CI/CD pipelines for microservices, embedding automated testing, gated promotions, and safe rollback strategies.
• Standardise and automate deployment patterns for containerised workloads, ensuring environments are versioned, reproducible, and consistent.
• Build and maintain Azure infrastructure using Infrastructure as Code, ensuring changes are peer-reviewed, traceable, and free from configuration drift.
• Reduce manual intervention through automation and engineering improvements.
• Improve system scaling, failover, retry, and resilience patterns across services.
• Support definition and tracking of service-level objectives, contributing to structured incident response and systemic post-incident improvements.
• Strengthen observability across logging, metrics, tracing, dashboards, and alerting to ensure services are diagnosable in production.
• Embed security controls into CI/CD pipelines, including automated scanning and secure dependency practices.
• Improve secrets management, certificate lifecycle automation, and secure container practices.
• Increase cost visibility across Azure environments, implementing right-sizing, scaling policies, and lifecycle management to reduce waste.
• Contribute to automation of operational workflows in event-driven and distributed environments.

DevOps Engineer, Azure

• Design, implement, and operate highly available, scalable, and fault-tolerant systems on Microsoft Azure.
• Define, track, and improve reliability metrics, including service health indicators and operational performance reporting.
• Develop and maintain Infrastructure as Code using Bicep, ARM, Terraform, or similar tooling to ensure consistent and reproducible environments.
• Build automation for provisioning, deployment, scaling, and operational workflows, reducing manual intervention and operational toil.
• Enhance CI/CD pipelines in collaboration with DevOps to improve deployment safety, reliability, and efficiency.
• Implement and maintain monitoring, logging, tracing, and alerting solutions to ensure real-time visibility and rapid issue detection.
• Define meaningful alerting strategies that reduce noise and improve response effectiveness.
• Lead incident response activities, including structured troubleshooting, stakeholder communication, root cause analysis, and post-incident reviews.
• Strengthen incident and problem management processes to improve SLA adherence and customer impact mitigation.
• Implement systemic improvements to prevent repeat incidents rather than applying short-term workarounds.
• Embed security and compliance best practices across infrastructure, including access control, encryption, and policy enforcement.
• Drive continuous service improvement initiatives to enhance performance, reliability, efficiency, and operational maturity.
• Collaborate closely with Development and QA teams to improve application resilience and supportability.

Site Reliability Engineer

• Create a tailored portal for clients
• Block traffic from specific regions
• Implement and manage security measures
• Conduct security assessments and audits
• Train team on security best practices

• take ownership of high-impact platform systems
• work cross-functionally with platform engineers, ML teams, SREs, and product partners
• build developer-facing platforms and tooling to reduce friction at scale
• support day-to-day operations of running large-scale applications
• participate in an on-call rotation

Senior Site Reliability Engineer

• Collaborate and work with other engineers to design, build, scale, and operate the systems.
• Use industry-standard systems like Ansible, Jenkins, Kubernetes, Grafana, Spinnaker, MySQL, ElasticSearch, Google Cloud, and Varnish.
• Review and contribute to the specifications and implementations written by other team members.
• Design and develop features, feature tests and solutions.
• Fix bugs and refactor code as needed.
• Provide support for our tools and infrastructure to Arista’s development team.

Golang Engineer – SRE Engineering Productivity

• Provide solutions to customers to make them successful using our products.
• Troubleshoot customer environments and engage in active triaging with customers
• Provide feedback to the product development teams on customer needs and pain points.
• Build out our monitoring and alerting systems.
• Build and maintain automation to ensure daily operational tasks are handled as efficiently as possible.
• Help direct the architecture of the products and contribute where possible.
• Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide “white glove” guidance on the path to production.
• Participate remotely within a fully distributed team.
• Enhance and enrich customer documentation
• Work with the latest technology and multi-cloud implementations

Senior Customer Reliability Engineer – Infrastructure

• Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.
• Partner with engineering leadership to improve reliability, scalability, operational excellence, and engineering efficiency across the Ads organization.
• Drive architecture reviews and influence technical decisions impacting critical revenue-generating systems.
• Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale.
• Participate in on-call rotations, lead complex incident investigations and coordinate cross-functional response efforts during major production events.
• Identify systemic reliability risks and drive long-term solutions that improve platform resilience.
• Establish reliability metrics around advertiser-critical user journeys such as campaign creation, ad delivery, auction participation, reporting, attribution, and billing.
• Mentor engineers and provide technical leadership across multiple teams.
• Influence roadmap planning and ensure reliability considerations are incorporated into product and infrastructure investments.

Staff SRE, Ads

• Participate in on-call and incident response: Respond to production incidents, contribute to service restoration, and support clear communication during incidents. Over time, take increasing responsibility for leading incidents end-to-end.
• Improve operational reliability: Identify recurring issues and reliability risks, and drive fixes through better alerting, automation, system changes, or process improvements.
• Own parts of the production environment: Operate and improve Kubernetes clusters, cloud infrastructure, and core platform services, with growing ownership as familiarity increases.
• Strengthen observability: Improve dashboards, alerts, logs, and traces so issues are detected earlier and diagnosed faster, with a strong focus on actionable signals.
• Reduce operational toil: Automate repetitive tasks, simplify runbooks, and improve tooling to make on-call and day-to-day operations easier and safer.
• Support safe change: Improve deployments, rollback mechanisms, and operational readiness to reduce the risk of incidents caused by change.
• Contribute to operational practices: Write and maintain runbooks, participate in blameless post-mortems, and help improve incident response processes over time.
• Collaborate closely with engineers: Work with product and feature teams to improve production readiness, service ownership, and reliability expectations.

• Help Honeycomb scale our backend systems to support our highest-volume customers.
• Build organizational trust through transparent communication, giving and receiving direct and kind feedback.
• Work with other backend teams to dive deep into our stack to make sure we’re getting the most out of our infrastructure.
• Be trained, become, and then train others as an Incident Commander.
• Help SRE and Honeycomb develop a healthy cross-Atlantic engineering culture.
• Participate in the team’s on-call rotation as the EU side of a new follow-the-sun rotation.
• Help the organization navigate tradeoffs between reliability and its other goals and priorities.
• Optional: act as an external ambassador through blog posts, conference talks, and presentations with support from our DevRel team.

• Design, build, and maintain CI/CD pipelines supporting cloud-native and AI-driven services.
• Implement and manage Infrastructure as Code (IaC) for cloud environments using tools such as Terraform.
• Deploy, operate, and optimise containerised workloads using Kubernetes (GKE) and cloud-native runtimes.
• Ensure platform availability, scalability, and resilience through proactive monitoring and optimisation.
• Embed security best practices into pipelines and infrastructure, including IAM, secrets management, and vulnerability scanning.
• Collaborate closely with engineering teams to improve deployment patterns and operational readiness.
• Implement observability across the platform using logging, metrics, and alerting.
• Contribute to platform standards, documentation, and operational runbooks.

• Design and implement high-availability computer vision serving infrastructure capable of handling the needs of external customers and high-demand workloads
• Lead incident response for critical AI services, using automation to ensure rapid recovery and systematic improvements from each incident
• Build and maintain a metrics-driven, cost-optimised edge platform so we can predict and iteratively improve efficiency as we scale
• Write automation software, implement AWS Greengrass components, tune and automate iptables firewall rules, and maintain remote access and diagnostic tools that keep our safety systems dependable at scale

DevOps Engineer jobs in Ireland

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Senior DevOps Engineer

AI Deployment Engineer, Cyber

DevOps Engineer, Azure

Site Reliability Engineer

DevOps Engineer

Senior Site Reliability Engineer

Golang Engineer – SRE Engineering Productivity

Senior Customer Reliability Engineer – Infrastructure

Staff SRE, Ads

Senior Site Reliability Engineer

Senior Site Reliability Engineer

Senior DevOps Engineer

Site Reliability Engineer, Edge Systems