Senior Cloud Engineer
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At a glance
- Employment type
- Full-time
- Location
- Dublin, Ireland
- Workplace
- On-site
- Category
- DevOps
Technologies & skills
What you'll be doing
Senior Cloud Engineer role based in Dublin, Ireland, focusing on cloud infrastructure, automation, and DevOps practices. Involves working with containers, CI/CD, infrastructure as code, distributed systems, observability, and security. Leadership includes code reviews, mentoring, and technical guidance.
Role signals
- Technical focus
- DevOps, cloud infrastructure, automation, distributed systems, observability, security
- Leadership
- Mentoring
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
Key Skills
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Cloud: Azure, GCP
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Containers:
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Docker,
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Kubernetes
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CI/CD:
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Jenkins,
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Git,
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Artifactory
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Infrastructure as Code:
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Terraform,
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Ansible
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Programming/Scripting:
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Python,
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Java, Go,
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Bash
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Cloud Native:
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Microservices,
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Kubernetes,
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SaaS,
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High
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Availability,
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Scalability
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Databases & Distributed Systems:
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MongoDB,
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Elasticsearch, MySQL,
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ScyllaDB,
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Redis,
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Kafka
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Systems:
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Unix/Linux
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Administration
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Observability:
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Monitoring,
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Logging,
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Performance &
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Troubleshooting
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Security:
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Cloud
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Security,
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SecOps,
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Compliance
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Engineering Practices:
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Agile,
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Kanban, CI/CD,
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Automation,
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DevOps
Leadership: Code Reviews, Mentoring, Technical Guidance, Best Practices
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Senior Cloud Engineer role in Dublin is a hands-on DevOps position focused on cloud infrastructure (Azure, GCP), automation, containerization, CI/CD, and distributed systems, with an emphasis on technical leadership and best practices.
- Hands-on DevOps expertise·High
- Cloud platform proficiency·High
- Technical leadership·Medium
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Cloud Platform Experience
0–7 minSummarize your hands-on experience with Azure and GCP, focusing on architecture, automation, and security.
Prepare Kubernetes and Containerization Examples
7–14 minSelect 1-2 detailed examples of deploying and managing Kubernetes clusters, including troubleshooting and scaling.
Document Infrastructure as Code Projects
14–20 minGather code samples and outcomes from projects using Terraform and Ansible to discuss automation strategies.
Outline CI/CD and Observability Practices
20–25 minList tools and processes you have used for CI/CD and monitoring distributed systems, with specific results.
Reflect on Leadership and Mentoring
25–30 minPrepare stories that demonstrate your impact through code reviews, mentoring, or promoting best practices.
Talking points
, 6 itemsCloud Platform Expertise (Azure, GCP)
Demonstrate your experience designing, deploying, and managing scalable, secure cloud environments, as this is central to the role.
Containerization and Kubernetes
Showcase your ability to build, deploy, and manage containerized applications using Docker and Kubernetes, which are core technologies for this position.
Infrastructure as Code (Terraform, Ansible)
Prepare examples of how you have automated infrastructure provisioning and configuration, as this is a key responsibility.
CI/CD Pipeline Implementation
Discuss your experience with Jenkins, Git, and Artifactory to highlight your ability to streamline software delivery and deployment.
Distributed Systems and Observability
Be ready to explain how you have managed, monitored, and troubleshooted distributed databases and systems, ensuring high availability and performance.
Technical Leadership and Mentoring
Provide examples of code reviews, mentoring, and promoting best practices, as leadership is a noted aspect of the role.
What to research
, 5 itemsAzure and GCP Service Offerings
Review core services, networking, security, and automation features in both Azure and GCP.
Kubernetes Operations
Refresh knowledge on deploying, scaling, and securing Kubernetes clusters, including troubleshooting common issues.
Infrastructure as Code with Terraform and Ansible
Prepare examples of infrastructure automation, including code samples and lessons learned.
CI/CD Pipeline Design
Review best practices for building and maintaining CI/CD pipelines using Jenkins, Git, and Artifactory.
Distributed Databases and Observability
Study monitoring, logging, and performance tuning for databases like MongoDB, Elasticsearch, and Kafka.
Questions to ask
, 6 itemsWhat are the primary cloud platforms and services currently in use by the team?
Why ask this? Clarifies which technologies you will be working with day-to-day.
How does the team approach automation and Infrastructure as Code?
Why ask this? Gains insight into the maturity of automation practices and tool preferences.
What are the main challenges the team faces with distributed systems or observability?
Why ask this? Identifies pain points and areas where your expertise can add value.
How is technical leadership and mentoring structured within the team?
Why ask this? Helps you understand expectations for leadership and knowledge sharing.
What does success look like for this role in the first six months?
Why ask this? Clarifies performance expectations and priorities.
How does the team stay updated with evolving cloud and DevOps best practices?
Why ask this? Shows commitment to continuous learning and improvement.
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