Senior Cloud Engineer

Realtime Recruitment · Recruitment agency
Full-timeDevOpsDublin, Ireland
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At a glance

Employment type
Full-time
Workplace
On-site
Category
DevOps

Technologies & skills

Other technical 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

Full job description

Key Skills

  • Cloud: Azure, GCP

  • Containers:

  • Docker,

  • Kubernetes

  • CI/CD:

  • Jenkins,

  • Git,

  • Artifactory

  • Infrastructure as Code:

  • Terraform,

  • Ansible

  • Programming/Scripting:

  • Python,

  • Java, Go,

  • Bash

  • Cloud Native:

  • Microservices,

  • Kubernetes,

  • SaaS,

  • High

  • Availability,

  • Scalability

  • Databases & Distributed Systems:

  • MongoDB,

  • Elasticsearch, MySQL,

  • ScyllaDB,

  • Redis,

  • Kafka

  • Systems:

  • Unix/Linux

  • Administration

  • Observability:

  • Monitoring,

  • Logging,

  • Performance &

  • Troubleshooting

  • Security:

  • Cloud

  • Security,

  • SecOps,

  • Compliance

  • Engineering Practices:

  • Agile,

  • Kanban, CI/CD,

  • Automation,

  • 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

  1. Review Cloud Platform Experience

    0–7 min

    Summarize your hands-on experience with Azure and GCP, focusing on architecture, automation, and security.

  2. Prepare Kubernetes and Containerization Examples

    7–14 min

    Select 1-2 detailed examples of deploying and managing Kubernetes clusters, including troubleshooting and scaling.

  3. Document Infrastructure as Code Projects

    14–20 min

    Gather code samples and outcomes from projects using Terraform and Ansible to discuss automation strategies.

  4. Outline CI/CD and Observability Practices

    20–25 min

    List tools and processes you have used for CI/CD and monitoring distributed systems, with specific results.

  5. Reflect on Leadership and Mentoring

    25–30 min

    Prepare stories that demonstrate your impact through code reviews, mentoring, or promoting best practices.

Likely questions

, 6 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items
  • Cloud 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 items
  • Azure 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 items
  1. What 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.

  2. How does the team approach automation and Infrastructure as Code?

    Why ask this? Gains insight into the maturity of automation practices and tool preferences.

  3. 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.

  4. How is technical leadership and mentoring structured within the team?

    Why ask this? Helps you understand expectations for leadership and knowledge sharing.

  5. What does success look like for this role in the first six months?

    Why ask this? Clarifies performance expectations and priorities.

  6. 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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Apply NowApply before: 18 Oct 2026